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Google: Gemini 3.5 Flash

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Source-linked gemini-flash Closed weights Released 2026-05-19
API record Report
InputT
OutputT
Input price$1.5/M
Output price$9/M
Context1.04858M
Max output65.536K
Providers32
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Gemini 3.5 Flash
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Kenari gemini-3-5-flash 1.04858M 65.536K — — — ReasoningToolsJSON Docs ↗
UnoRouter gemini-3.5-flash 1.04858M 65.536K $0.186 $1.114 — ReasoningToolsJSON Docs ↗
Kilo Gateway google/gemini-3.5-flash 1.04858M 65.536K $0.75 $4.5 $0.075 ReasoningToolsJSON Docs ↗
Neon gemini-3-5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Ofox google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Eden AI google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Pioneer gemini-3.5-flash 1M 64K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
ZenMux google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Abacus gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Eden AI vertex/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Opper gemini/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Requesty gemini-3.5-flash 1.04858M 65.535K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
AIHubMix gemini-3.5-flash 1M 64K $1.5 $9 $1.5 ReasoningToolsJSON Docs ↗
Vertex gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Cloudflare AI Gateway google-ai-studio/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Vercel AI Gateway google/gemini-3.5-flash 1M 64K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
OpenRouter google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Impossibl google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
CrossModel gemini/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Merge Gateway google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
GitHub Copilot gemini-3.5-flash 200K 64K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
302.AI gemini-3.5-flash 1.04858M 65.536K $1.5 $9 — ReasoningToolsJSON Docs ↗
NanoGPT google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
OpenCode Zen gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
OrcaRouter google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Google gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
FastRouter google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 — ReasoningToolsJSON Docs ↗
NEAR AI Cloud google/gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) gemini-3.5-flash 1.04858M 65.536K $1.5 $9 $0.15 ReasoningToolsJSON Docs ↗
Poe google/gemini-3.5-flash 1.04858M 65.536K $1.515 $9.091 $0.151 ReasoningToolsJSON Docs ↗
Xpersona gemini-3.5-flash 1M 128K $1.55 $12.2 $0.155 ReasoningToolsJSON Docs ↗
Cortecs gemini-3.5-flash 1.04858M 65.535K $1.649 $9.899 $0.165 ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.186/M

Across 31 priced providers

Median input $1.5/M

Midpoint of listed rates

Highest input $1.649/M

8.9× the lowest listed rate

Output range $1.114 – $12.2

Per million output tokens

UnoRouter $0.186/MLowest
Kilo Gateway $0.75/M
Neon $1.5/M
Ofox $1.5/M
Eden AI $1.5/M
Pioneer $1.5/M
ZenMux $1.5/M
Abacus $1.5/M
Eden AI $1.5/M
Opper $1.5/M
Requesty $1.5/M
AIHubMix $1.5/M
Vertex $1.5/M
Cloudflare AI Gateway $1.5/M
Vercel AI Gateway $1.5/M
OpenRouter $1.5/M
Impossibl $1.5/M
CrossModel $1.5/M
Merge Gateway $1.5/M
GitHub Copilot $1.5/M
302.AI $1.5/M
NanoGPT $1.5/M
OpenCode Zen $1.5/M
OrcaRouter $1.5/M
Google $1.5/M
FastRouter $1.5/M
NEAR AI Cloud $1.5/M
DevPass (LLM Gateway) $1.5/M
Poe $1.515/M
Xpersona $1.55/M
Cortecs $1.649/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 200K to 1.04858M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
✓ Attachments Yes
✓ Vision input Yes
× Open weights No
Creator
Google
Model family
gemini-flash
Knowledge cutoff
2025-01
License
Not documented
Release date
2026-05-19
Model ID
google/gemini-3.5-flash
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
Coding IndexCoding Index Agentic IndexAgentic Index IntelligenceIntelligence Index Design Arena: w…Design Arena: website Design Arena: c…Design Arena: codecategories Design Arena: g…Design Arena: gamedev Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Coding Index: 70.1 index (79.5th percentile) This model — Agentic Index: 27.3 index (64.2th percentile) This model — Intelligence Index: 33 index (63.0th percentile) This model — Design Arena: website: 1275 elo (74.3th percentile) This model — Design Arena: codecategories: 1277 elo (74.3th percentile) This model — Design Arena: gamedev: 1287 elo (78.9th percentile) This model — Design Arena: dataviz: 1250 elo (67.3th percentile) This model — Design Arena: uicomponent: 1287 elo (76.4th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Coding Index index Source ↗
Coding Index #42 of 205
Agentic Index index Source ↗
Agentic Index #69 of 193
Intelligence Index index Source ↗
Intelligence Index #71 of 192
Design Arena: website elo Source ↗
Design Arena: website #45 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #43 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #35 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #53 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #38 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #42 of 157
Design Arena: svg elo Source ↗
Design Arena: svg #16 of 116
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #22 of 99
Design Arena: fullstack elo Source ↗
Design Arena: fullstack #31 of 67
Design Arena: webapps elo Source ↗
Design Arena: webapps #26 of 67
Design Arena: mobileapps elo Source ↗
Design Arena: mobileapps #29 of 66
Design Arena: androidnative elo Source ↗
Design Arena: androidnative #25 of 59
Design Arena: python-pptxslides elo Source ↗
Design Arena: python-pptxslides #16 of 47
Design Arena: godotgamedev elo Source ↗
Design Arena: godotgamedev #34 of 45
Design Arena: agenticgamedev elo Source ↗
Design Arena: agenticgamedev #25 of 44
Design Arena: htmlslides elo Source ↗
Design Arena: htmlslides #33 of 40
SWE-Bench Pro resolve rate · 2026-05-19 Source ↗
SWE-Bench Pro #18 of 38
Humanity's Last Exam accuracy · 2026-05-19 Source ↗
Humanity's Last Exam #17 of 20
Design Arena: agentichtmlslides elo Source ↗
Design Arena: agentichtmlslides #11 of 17
Design Arena: agenticslides elo Source ↗
Design Arena: agenticslides #6 of 17
Design Arena: agenticslides(html) elo Source ↗
Design Arena: agenticslides(html) #11 of 17
Design Arena: agenticslides(python-pptx) elo Source ↗
Design Arena: agenticslides(python-pptx) #5 of 17
OSWorld-Verified success rate · 2026-05-19 Source ↗
OSWorld-Verified #9 of 17
Design Arena: pptxslides elo Source ↗
Design Arena: pptxslides #5 of 15
MMMU Pro accuracy · 2026-05-19 Source ↗
MMMU Pro #1 of 10
CharXiv Reasoning accuracy · 2026-05-19 Source ↗
CharXiv Reasoning #4 of 7
MCP Atlas success rate · 2026-05-19 Source ↗
MCP Atlas #2 of 7
Terminal-Bench — 2.1 success rate · Terminus-2 · 2026-05-19 Source ↗
Terminal-Bench #3 of 7
ARC-AGI-2 accuracy · 2026-05-19 Source ↗
ARC-AGI-2 #6 of 6
Toolathlon success rate · 2026-05-19 Source ↗
Toolathlon #2 of 6
GDPval-AA Elo · 2026-05-19 Source ↗
GDPval-AA #2 of 4

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Coding Index, the benchmark with the widest published coverage that this model appears in.

0 43 86 $0.01 $0.1 $1 $10 Claude Opus 5 — $5/M, score 78.0 OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9 OpenAI: GPT-5 (batch) — $0.625/M, score 37.8 Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7 Gemma 3 27B IT — $0.08/M, score 10.1 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2 Gemma 4 31B IT — $0.09/M, score 43.4 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7 GPT-5.4 — $2.5/M, score 71.1 GPT-5.6 Luna — $0.2/M, score 71.4 Gemini 3.5 Flash Lite — $0.3/M, score 49.3 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1 OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3 Qwen: Qwen3.8 Max (0902) — $2/M, score 71.8 Gemini 3.5 Flash — $1.5/M, score 70.1 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5 Gemma 3 12B IT — $0.05/M, score 5.8 GPT-4.1 mini — $0.4/M, score 20.2 DeepSeek V4 Pro — $0.435/M, score 59.4 Claude Sonnet 5 — $2/M, score 71.5 Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7 OpenAI: o1 (batch) — $7.5/M, score 39.7 Z.ai: GLM 5.1 — $0.966/M, score 55.8 Gemini 3.7 Flash — $0.75/M, score 76.1 LongCat-2.0 — $0.3/M, score 45.3 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3 Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1 DeepSeek V3.2 — $0.18/M, score 44.2 OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9 Anthropic: Claude Opus 4.7 — $5/M, score 73.6 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3 Inception: Mercury 2 — $0.25/M, score 31.1 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1 Gemini 3.6 Flash — $0.75/M, score 69.2 Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7 GPT-5.4 mini — $0.75/M, score 56.1 Gemma 4 26B A4B IT — $0.042/M, score 39.3 Claude Fable 5 — $10/M, score 76.5 Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6 Gemini 2.5 Pro — $1.25/M, score 33.3 Z.ai: GLM 5.3 Flash — $0.15/M, score 71.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7 MiniMax: MiniMax M3 — $0.3/M, score 58.6 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8 Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9 Anthropic: Claude Fable 5.1 — $10/M, score 81.6 Google: Gemma 4 31B (batch) — $0.39/M, score 43.4 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9 Mistral: Devstral 2 2512 — $0.4/M, score 31.3 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8 DeepSeek-R1 — $0.7/M, score 24.6 Inkling — $1.87/M, score 52.1 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7 Muse Spark 1.1 — $1.25/M, score 71.3 MiMo-V2.5 — $0.14/M, score 56.8 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3 Kimi K2 Thinking — $0.4/M, score 21.0 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9 Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5 GPT-5.1 — $1.25/M, score 49.4 Qwen: Qwen3.8 27B — $0.42/M, score 68.1 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1 inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 57.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1 MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2 Inkling Small — $0.45/M, score 52.9 GPT-5.5 — $5/M, score 74.9 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5 Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5 Nemotron 3 Super 120B A12B — $0.2/M, score 37.7 IBM: Granite 4.2 8B — $0.06/M, score 22.4 Thinking Machines: Inkling (batch) — $1/M, score 52.1 GPT OSS 120B — $0.03/M, score 30.4 GPT-4 — $30/M, score 13.1 SpaceXAI: Grok 4.6 — $2/M, score 76.8 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5 GPT-5 Mini — $0.25/M, score 15.6 Gemma 3 4B IT — $0.04/M, score 2.7 Claude Opus 5 (batch) — $2.5/M, score 78.0 OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1 DeepSeek V4 Flash — $0.15/M, score 52.0 Kimi K2.7 Code — $0.95/M, score 60.8 DeepSeek V4 Pro 0813 — $0.442/M, score 68.8 Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2 Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4 Z.ai: GLM 5.3 — $1.4/M, score 74.8 Anthropic: Claude Opus 4.8 — $5/M, score 74.3 SpaceXAI: Grok 4.3 — $1.25/M, score 42.2 GPT-5.6 Terra — $2/M, score 76.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6 Gemini 3.8 Flash — $0.75/M, score 76.3 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3 MiniMax: MiniMax M2.7 — $0.3/M, score 52.6 SpaceXAI: Grok 4.5 — $2/M, score 72.4 Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5 Kimi K2.6 — $0.95/M, score 61.8 Kimi K3 — $3/M, score 76.2 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4 GPT-3.5-turbo — $0.5/M, score 10.7 Solar Pro 4 — $0.3/M, score 52.7 Gemini 3.1 Pro Preview — $2/M, score 68.8 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6 MiMo-V2.5-Pro — $0.435/M, score 60.2 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8 Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0 DeepSeek V4 Flash 0731 — $0.05/M, score 69.1 GPT-5 — $1.25/M, score 37.8 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6 GPT-6 Astra — $10/M, score 76.9 inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6 Qwen: Qwen3.7 Plus — $0.32/M, score 55.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2 GPT-4 Turbo — $10/M, score 21.5 Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3 Anthropic: Claude Sonnet 4 — $3/M, score 37.6 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1 Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9 OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4 Qwen: Qwen3.6 Plus — $0.325/M, score 54.5 Z.ai: GLM 4.6 — $0.43/M, score 45.8 GPT-4o (2024-05-13) — $5/M, score 24.2 Muse Spark 1.2 — $1.25/M, score 72.2 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4 GPT-5.6 Sol — $4/M, score 77.4 OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5 GPT-5.4 nano — $0.2/M, score 56.1 Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8 Hy3 preview — $0.066/M, score 58.8 GPT-4.1 nano — $0.1/M, score 11.1 GPT OSS 20B — $0.02/M, score 20.7 GPT-4o mini — $0.15/M, score 11.4 o1 — $15/M, score 39.7 Kimi K2.5 — $0.3/M, score 46.8 Trinity Large Thinking — $0.25/M, score 25.8 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1 Z.ai: GLM 5.2 — $0.966/M, score 68.8 Qwen: Qwen3.7 Max — $1.475/M, score 66.0 SpaceXAI: Grok Build 0.1 — $1/M, score 51.5 Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9 Qwen: Qwen3.6 27B — $0.3/M, score 53.7 inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3 Mistral: Mistral Small 4 — $0.15/M, score 26.6 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5 Qwen: Qwen3.5-9B — $0.1/M, score 28.7 Qwen: Qwen3.5-35B-A3B — $0.312/M, score 37.0 Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7 Upstage: Solar Pro 3 — $0.15/M, score 16.2 Z.ai: GLM 4.7 — $0.4/M, score 45.3 Amazon: Nova 2 Lite — $0.3/M, score 23.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Google: Gemma 3n 4B — $0.06/M, score 3.2 Meta: Llama 4 Maverick — $0.2/M, score 16.3 OpenAI: o3 Mini High — $1.1/M, score 16.3 Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9 Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4 Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1 Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9 inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8 IBM: Granite 4.1 8B — $0.05/M, score 9.5 Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2 Qwen: Qwen3 Coder Next — $0.12/M, score 36.2 Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4 Anthropic: Claude Haiku 4.5 — $1/M, score 43.9 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1 Qwen: Qwen3 8B — $0.117/M, score 9.0 Qwen: Qwen3 14B — $0.227/M, score 13.8 Qwen: Qwen3 32B — $0.08/M, score 15.3 Meta: Llama 4 Scout — $0.1/M, score 8.2 DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2 Cohere: Command A — $2.5/M, score 27.8 Step 3.7 Flash — $0.185/M, score 39.6 Gemini 3.5 Flash Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Price Completion9.9 → 9.0
Price Prompt1.6500000000000001 → 1.5
Price Completion9.0 → 9.9
Price Prompt1.5 → 1.6500000000000001
Price Completion9.9 → 9.0
Price Prompt1.6500000000000001 → 1.5
Price Completion9.0 → 9.9
Price Prompt1.5 → 1.6500000000000001
Price Completion9.9 → 9.0
Price Prompt1.6500000000000001 → 1.5
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Sep 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Kenari documentationprovider documentation ↗UnoRouter documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗Neon documentationprovider documentation ↗Ofox documentationprovider documentation ↗Eden AI documentationprovider documentation ↗Pioneer documentationprovider documentation ↗ZenMux documentationprovider documentation ↗Abacus documentationprovider documentation ↗Opper documentationprovider documentation ↗Requesty documentationprovider documentation ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/google/gemini-3.5-flash
curl
curl "https://model.kyssta.lol/api/v1/models/google/gemini-3.5-flash"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Gemini 3.5 Flash?

Fast Gemini model balancing multimodal reasoning, tool use, and cost. It is published by Google and catalogued here from Models.dev.

How much does Gemini 3.5 Flash cost?

Listed input pricing starts at $0.186 per million tokens from UnoRouter, rising to $1.649 across 31 listed providers.

What is the context length of Gemini 3.5 Flash?

Gemini 3.5 Flash accepts up to 1.04858M tokens of context and returns up to 65.536K output tokens.

Does Gemini 3.5 Flash support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, reasoning, and image input.

Which providers serve Gemini 3.5 Flash?

31 providers list this model: Kenari, UnoRouter, Kilo Gateway, Neon, Ofox, Eden AI and 25 more.

Are the weights for Gemini 3.5 Flash open?

No. This model is served through hosted APIs only.

When was Gemini 3.5 Flash released?

The catalog records a release date of 2026-05-19, last verified Sep 11, 2026.

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