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 3.1 Pro Preview
Provider Provider model ID Context Max output Input Output Cache read Capabilities Docs
S Snowflake Cortex gemini-3.1-pro1.04858M
65.536K
— — — Reasoning Tools JSON Docs ↗
K Kenari gemini-3-1-pro1.04858M
65.536K
— — — Reasoning Tools JSON Docs ↗
K Kilo Gateway google/gemini-3.1-pro-preview1.04858M
65.536K
$1
$6
$0.1
Reasoning Tools JSON Docs ↗
D DaoXE gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
3 302.AI gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
— Reasoning Tools JSON Docs ↗
E Eden AI vertex/gemini-pro-latest1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
E Eden AI vertex/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
D DevPass (LLM Gateway) gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
O Opper gemini/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
O OpenRouter google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
O OpenCode Zen gemini-3.1-pro1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
R Requesty gemini-3.1-pro-preview1.04858M
65.535K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
P Perplexity Agent google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools Docs ↗
G GitHub Copilot gemini-3.1-pro-preview1M
64K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
Z ZenMux google/gemini-3.1-pro-preview1.048M
64K
$2
$12
$0.2
Reasoning Tools Docs ↗
A Abacus gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
A Auriko gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
C Cloudflare AI Gateway google-ai-studio/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
O Ofox google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
O OrcaRouter google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
V Vertex gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
M Merge Gateway google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
I Impossibl google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
C CrossModel gemini/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
G Google gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
N NanoGPT google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
P Pioneer gemini-3.1-pro1M
64K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
F FrogBot gemini-3-1-pro-preview1M
64K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
V Vercel AI Gateway google/gemini-3.1-pro-preview1M
64K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
V Vivgrid gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
E Eden AI google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
A AIHubMix gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON Docs ↗
F FastRouter google/gemini-3.1-pro-preview1.04858M
65.536K
$2
$12
— Reasoning Tools JSON Docs ↗
E Eden AI google/gemini-pro-latest1.04858M
65.536K
$2
$12
$0.2
Reasoning Tools JSON 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
$1/M
Across 32 priced providers
Median input
$2/M
Midpoint of listed rates
Highest input
$2/M
2.0× the lowest listed rate
Output range
$6 – $12
Per million output tokens
Kilo Gateway
$1/M Lowest
DaoXE
$2/M
302.AI
$2/M
Eden AI
$2/M
Eden AI
$2/M
DevPass (LLM Gateway)
$2/M
Opper
$2/M
OpenRouter
$2/M
OpenCode Zen
$2/M
Requesty
$2/M
Perplexity Agent
$2/M
GitHub Copilot
$2/M
ZenMux
$2/M
Abacus
$2/M
Auriko
$2/M
Cloudflare AI Gateway
$2/M
Ofox
$2/M
OrcaRouter
$2/M
Vertex
$2/M
Merge Gateway
$2/M
Impossibl
$2/M
CrossModel
$2/M
Google
$2/M
NanoGPT
$2/M
Pioneer
$2/M
FrogBot
$2/M
Vercel AI Gateway
$2/M
Vivgrid
$2/M
Eden AI
$2/M
AIHubMix
$2/M
FastRouter
$2/M
Eden AI
$2/M
Context limits also differ by provider, from 1M 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
Model family gemini-pro
Knowledge cutoff 2025-01
License Not documented
Release date 2026-02-19
Model ID google/gemini-3.1-pro-preview
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: 68.8 index (74.9th percentile)
This model — Agentic Index: 10.3 index (36.8th percentile)
This model — Intelligence Index: 30.4 index (58.9th percentile)
This model — Design Arena: website: 1265 elo (69.1th percentile)
This model — Design Arena: codecategories: 1259 elo (67.1th percentile)
This model — Design Arena: gamedev: 1226 elo (59.0th percentile)
This model — Design Arena: dataviz: 1254 elo (70.9th percentile)
This model — Design Arena: uicomponent: 1295 elo (79.5th 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
#49 of 205
2.7
median 49.3
81.6
Agentic Index
#121 of 193
0.1
median 19.7
58.0
Intelligence Index
#79 of 192
3.8
median 25.6
55.0
Design Arena: website
#54 of 175
762.0
median 1202.0
1359.0
Design Arena: codecategories
#55 of 167
804.0
median 1198.0
1389.0
Design Arena: gamedev
#68 of 166
796.0
median 1193.5
1414.0
Design Arena: dataviz
#47 of 165
871.0
median 1198.0
1366.0
Design Arena: uicomponent
#33 of 161
782.0
median 1205.0
1394.0
Design Arena: 3d
#47 of 157
865.0
median 1190.0
1426.0
Design Arena: svg
#14 of 116
992.0
median 1188.0
1352.0
Design Arena: asciiart
#16 of 99
1018.0
median 1186.0
1386.0
Design Arena: fullstack
#50 of 67
948.0
median 1207.0
1503.0
Design Arena: webapps
#46 of 67
1000.0
median 1217.0
1335.0
Design Arena: mobileapps
#54 of 66
1083.0
median 1191.5
1348.0
Design Arena: androidnative
#53 of 59
976.0
median 1193.0
1297.0
Design Arena: python-pptxslides
#42 of 47
1036.0
median 1207.0
1336.0
Design Arena: godotgamedev
#10 of 45
996.0
median 1161.0
1344.0
Design Arena: agenticgamedev
#40 of 44
1006.0
median 1181.5
1284.0
Design Arena: htmlslides
#28 of 40
1011.0
median 1182.0
1279.0
SWE-Bench Pro
#20 of 38
5.2
median 54.3
80.3
Humanity's Last Exam
#14 of 20
24.3
median 52.2
64.7
GPQA Diamond
#4 of 18
82.8
median 92.5
96.0
Design Arena: agentichtmlslides
#8 of 17
1066.0
median 1226.0
1254.0
Design Arena: agenticslides
#12 of 17
1072.0
median 1171.0
1334.0
Design Arena: agenticslides(html)
#8 of 17
1066.0
median 1219.0
1252.0
Design Arena: agenticslides(python-pptx)
#12 of 17
1068.0
median 1183.0
1331.0
OSWorld-Verified
#11 of 17
39.0
median 78.4
86.1
Design Arena: pptxslides
#12 of 15
1071.0
median 1181.0
1333.0
MMMU Pro
#7 of 10
66.1
median 81.0
83.6
CharXiv Reasoning
#5 of 7
76.5
median 84.2
91.3
MCP Atlas
#3 of 7
74.2
median 76.4
88.1
SWE-Atlas Codebase QnA
#4 of 7
8.2
median 13.5
36.3
SWE-Atlas Test Writing
#4 of 7
18.6
median 29.8
40.0
Terminal-Bench
#5 of 7
66.1
median 74.6
80.4
ARC-AGI-2
#4 of 6
72.1
median 80.2
90.4
GDPval-AA
#4 of 4
1314.0
median 1578.0
1932.0
43.0
1 model scored — too few for a distribution
45.6
1 model scored — too few for a distribution
33.81
1 model scored — too few for a distribution
15.1
1 model scored — too few for a distribution
68.3
1 model scored — too few for a distribution
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 3.1 Pro Preview
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 No changes recorded This record has not changed within the retained import history.
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
Public API
Use this record Fetch the complete source-linked model record. No key, no account, no rate-limited tier.
API documentation
Endpoint Copy
GET https://model.kyssta.lol/api/v1/models/google/gemini-3.1-pro-previewcurl Copy
curl "https://model.kyssta.lol/api/v1/models/google/gemini-3.1-pro-preview"
Common questions
Frequently asked questions Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.
What is Gemini 3.1 Pro Preview?
Reasoning-first Gemini preview for agentic coding and complex problem solving. It is published by Google and catalogued here from Models.dev.
How much does Gemini 3.1 Pro Preview cost?
Listed input pricing starts at $1 per million tokens from Kilo Gateway, rising to $2 across 32 listed providers.
What is the context length of Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview accepts up to 1.04858M tokens of context and returns up to 65.536K output tokens.
Does Gemini 3.1 Pro Preview support tool calling and structured output?
Provider catalogs list support for tool calling, structured output, reasoning, and image input.
Which providers serve Gemini 3.1 Pro Preview?
31 providers list this model: Snowflake Cortex, Kenari, Kilo Gateway, DaoXE, 302.AI, Eden AI and 25 more.
Are the weights for Gemini 3.1 Pro Preview open?
No. This model is served through hosted APIs only.
When was Gemini 3.1 Pro Preview released?
The catalog records a release date of 2026-02-19, last verified Sep 11, 2026.
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