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Google: Google: Gemini 2.5 Flash (batch)

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater...

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API record Report
InputT
OutputT
Input price$0.15/M
Output price$1.25/M
Context1.04858M
Max output65.535K
Providers0
Inference availability

Providers

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Specification

Capabilities

Recorded from the source catalog and provider listings.

? Reasoning Unknown
? Tool calling Unknown
? Structured output Unknown
? Attachments Unknown
✓ Vision input Yes
? Open weights Unknown
Creator
Google
Model family
Not documented
Knowledge cutoff
Not documented
License
Not documented
Release date
Not documented
Model ID
google/gemini-2.5-flash:batch
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
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 Design Arena: 3dDesign Arena: 3d Design Arena: s…Design Arena: svg This model — Design Arena: website: 1127 elo (25.7th percentile) This model — Design Arena: codecategories: 1119 elo (22.2th percentile) This model — Design Arena: gamedev: 1088 elo (19.3th percentile) This model — Design Arena: dataviz: 1149 elo (29.1th percentile) This model — Design Arena: uicomponent: 1107 elo (22.4th percentile) This model — Design Arena: 3d: 1100 elo (22.9th percentile) This model — Design Arena: svg: 1045 elo (9.5th percentile)

Each axis is this model's percentile among the 7 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.

Design Arena: website elo Source ↗
Design Arena: website #130 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #130 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #134 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #117 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #125 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #121 of 157
Design Arena: svg elo Source ↗
Design Arena: svg #105 of 116

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 Design Arena: website, the benchmark with the widest published coverage that this model appears in.

0 720 1441 $0.1 $1 $10 Claude Opus 5 — $5/M, score 1320.0 Claude Opus 5 (batch) — $2.5/M, score 1320.0 SpaceXAI: Grok 4.5 — $2/M, score 1296.0 Qwen: Qwen3.6 Plus — $0.325/M, score 1253.0 Google: Gemini 3 Flash Preview (batch) — $0.25/M, score 1208.0 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 1077.0 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 1175.0 OpenAI: GPT-5 Nano (batch) — $0.025/M, score 1114.0 OpenAI: GPT-4o (batch) — $1.25/M, score 843.0 DeepSeek: DeepSeek V3.2 Exp — $0.27/M, score 1191.0 Google: Gemini 3.5 Flash — $1.5/M, score 1275.0 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 1291.0 OpenAI: GPT-4.1 Mini — $0.4/M, score 1010.0 DeepSeek: DeepSeek V4 Pro 0423 — $0.948/M, score 1247.0 Anthropic: Claude Sonnet 5 — $2/M, score 1289.0 Mistral: Ministral 3 8B 2512 — $0.15/M, score 1077.0 MoonshotAI: Kimi K3 — $2.34/M, score 1354.0 Google: Gemini 3.7 Flash — $0.75/M, score 1315.0 Meta: Muse Spark 1.3 — $1.25/M, score 1359.0 Qwen: Qwen3.7 Plus — $0.32/M, score 1282.0 OpenAI: GPT-5.3-Codex — $1.75/M, score 1175.0 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 1267.0 Mistral: Mistral Large 3 2512 — $0.5/M, score 1175.0 DeepSeek: DeepSeek V3.2 — $0.269/M, score 1187.0 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 1322.0 Meta: Muse Spark 1.2 — $1.25/M, score 1322.0 Anthropic: Claude Opus 4.7 — $5/M, score 1307.0 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 1275.0 Mistral: Codestral 2508 — $0.3/M, score 1025.0 Inception: Mercury 2 — $0.25/M, score 1035.0 Xiaomi: MiMo-V2.5-Pro — $0.435/M, score 1285.0 MoonshotAI: Kimi K2.6 — $0.95/M, score 1282.0 OpenAI: GPT-5.4 (batch) — $1.25/M, score 1232.0 Google: Gemini 3.1 Flash Lite Preview — $0.25/M, score 1095.0 Z.ai: GLM 4.6 — $0.43/M, score 1187.0 Google: Gemini 3.1 Pro Preview — $2/M, score 1265.0 Z.ai: GLM 5 — $0.6/M, score 1260.0 Anthropic: Claude Opus 4.6 (batch) — $2.5/M, score 1304.0 OpenAI: GPT-5.2 — $1.75/M, score 1207.0 OpenAI: GPT-5.2 (batch) — $0.875/M, score 1207.0 Z.ai: GLM 4.7 Flash — $0.061/M, score 1206.0 OpenAI: GPT-5.1 (batch) — $0.625/M, score 1199.0 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 1135.0 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 1202.0 OpenAI: GPT-5 Mini — $0.25/M, score 1137.0 Google: Gemini 3.6 Flash — $0.75/M, score 1312.0 OpenAI: gpt-oss-120b — $0.037/M, score 980.0 OpenAI: gpt-oss-20b — $0.03/M, score 865.0 Anthropic: Claude Opus 4.1 — $15/M, score 1189.0 Anthropic: Claude Fable 5 — $10/M, score 1310.0 Anthropic: Claude Sonnet 4 — $3/M, score 1158.0 OpenAI: GPT-4.1 — $2/M, score 1051.0 Z.ai: GLM 5.3 Flash — $0.15/M, score 1291.0 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 985.0 MiniMax: MiniMax M3 — $0.3/M, score 1271.0 DeepSeek: DeepSeek V3 — $0.257/M, score 1132.0 OpenAI: GPT-4o — $2.5/M, score 843.0 Google: Gemini 2.5 Flash (batch) — $0.15/M, score 1127.0 Anthropic: Claude Fable 5.1 — $10/M, score 1322.0 Z.ai: GLM 5V Turbo — $1.2/M, score 1243.0 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 1290.0 Thinking Machines: Inkling — $1/M, score 1226.0 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 865.0 Meta: Muse Spark 1.1 — $1.25/M, score 1282.0 Xiaomi: MiMo-V2.5 — $0.14/M, score 1279.0 MoonshotAI: Kimi K2 0711 — $0.57/M, score 1063.0 MoonshotAI: Kimi K2 Thinking — $0.6/M, score 1125.0 Qwen: Qwen3.8 Max (0803) — $2/M, score 1295.0 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 1145.0 OpenAI: GPT-5.1 — $1.25/M, score 1199.0 Z.ai: GLM 5.1 — $0.966/M, score 1290.0 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 1315.0 Anthropic: Claude Sonnet 4.5 — $3/M, score 1202.0 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 1315.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 1319.0 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 1251.0 OpenAI: GPT-5.5 (batch) — $2.5/M, score 1269.0 MoonshotAI: Kimi K3 (batch) — $3/M, score 1354.0 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 1289.0 Anthropic: Claude Fable 5 (batch) — $5/M, score 1310.0 OpenAI: GPT-5 (batch) — $0.625/M, score 1197.0 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 1179.0 Anthropic: Claude Opus 4 — $15/M, score 1177.0 OpenAI: GPT-5.1-Codex-Mini — $0.25/M, score 1123.0 OpenAI: o3 (batch) — $1/M, score 1048.0 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 1010.0 SpaceXAI: Grok 4.6 — $2/M, score 1306.0 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 1199.0 OpenAI: o3 — $2/M, score 1048.0 Qwen: Qwen3 Max — $0.78/M, score 1131.0 Anthropic: Claude Opus 4.5 (batch) — $2.5/M, score 1259.0 Z.ai: GLM 5.2 (batch) — $0.7/M, score 1307.0 OpenAI: GPT-5.1-Codex — $1.25/M, score 1174.0 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 980.0 Mistral: Codestral 2508 (batch) — $0.15/M, score 1025.0 Qwen: Qwen3 235B A22B — $0.455/M, score 1043.0 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 1312.0 Z.ai: GLM 5.3 — $1.4/M, score 1319.0 Anthropic: Claude Opus 4.8 — $5/M, score 1267.0 SpaceXAI: Grok 4.3 — $1.25/M, score 1206.0 Google: Gemini 3 Flash Preview — $0.5/M, score 1208.0 MiniMax: MiniMax M3 (batch) — $0.3/M, score 1271.0 Google: Gemini 3.8 Flash — $0.75/M, score 1315.0 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 1144.0 MiniMax: MiniMax M2.7 — $0.3/M, score 1258.0 OpenAI: GPT-4.1 (batch) — $1/M, score 1051.0 DeepSeek: DeepSeek V4 Flash 0731 — $0.065/M, score 1251.0 Anthropic: Claude Opus 4.1 (batch) — $7.5/M, score 1189.0 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 1307.0 Upstage: Solar Pro 4 — $0.09/M, score 1188.0 Mistral: Mistral Medium 3 — $0.4/M, score 1091.0 MiniMax: MiniMax M2 — $0.255/M, score 1155.0 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 1265.0 Mistral: Mistral Medium 3.1 — $0.4/M, score 1145.0 Thinking Machines: Inkling (batch) — $1/M, score 1226.0 OpenAI: GPT-5.5 — $5/M, score 1269.0 Anthropic: Claude Sonnet 4.6 — $3/M, score 1297.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 1297.0 OpenAI: GPT-5 — $1.25/M, score 1197.0 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 1137.0 Google: Gemini 2.5 Pro — $1.25/M, score 1179.0 Qwen: Qwen3 Coder 480B A35B — $0.3/M, score 1171.0 Mistral: Mistral Small 3.2 24B — $0.075/M, score 908.0 OpenAI: o4 Mini (batch) — $0.55/M, score 998.0 SpaceXAI: Grok 4.3 (batch) — $1/M, score 1206.0 OpenAI: o4 Mini — $1.1/M, score 998.0 NVIDIA: Nemotron 3 Ultra — $0.625/M, score 1144.0 SpaceXAI: Grok 4.20 — $1.25/M, score 1242.0 Tencent: Hy3 — $0.132/M, score 1194.0 MoonshotAI: Kimi K2.7 Code — $0.71/M, score 1279.0 Google: Gemini 2.5 Flash — $0.3/M, score 1127.0 DeepSeek: DeepSeek V4 Flash 0423 — $0.087/M, score 1220.0 OpenAI: GPT-4.1 Nano — $0.1/M, score 985.0 OpenAI: GPT-5.4 — $2.5/M, score 1232.0 MoonshotAI: Kimi K2.5 — $0.45/M, score 1261.0 Arcee AI: Trinity Large Thinking — $0.25/M, score 1149.0 MoonshotAI: Kimi K2 0905 — $0.6/M, score 1120.0 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 943.0 Z.ai: GLM 5.2 — $0.966/M, score 1307.0 Qwen: Qwen3.7 Max — $1.475/M, score 1285.0 Qwen: Qwen3.5 Plus 2026-02-15 — $0.26/M, score 1200.0 MiniMax: MiniMax M2.1 — $0.3/M, score 1214.0 Z.ai: GLM 4.7 — $0.4/M, score 1238.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 1040.0 Amazon: Nova Premier 1.0 — $2.5/M, score 847.0 DeepSeek: DeepSeek V3.1 — $0.25/M, score 1135.0 Z.ai: GLM 4.5 — $0.6/M, score 1182.0 Meta: Llama 4 Maverick — $0.2/M, score 883.0 Nex AGI: Nex-N2-Pro — $0.25/M, score 1236.0 Z.ai: GLM 5 Turbo — $1.2/M, score 1278.0 Qwen: Qwen3.5 397B A17B — $0.55/M, score 1203.0 MiniMax: MiniMax M2.5 — $0.27/M, score 1235.0 Anthropic: Claude Opus 4.6 — $5/M, score 1304.0 Mistral: Ministral 3 14B 2512 — $0.2/M, score 1093.0 Anthropic: Claude Opus 4.5 — $5/M, score 1259.0 Anthropic: Claude Haiku 4.5 — $1/M, score 1135.0 Qwen: Qwen3 Coder 30B A3B Instruct — $0.07/M, score 1100.0 Z.ai: GLM 4.5 Air — $0.13/M, score 1159.0 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 1065.0 Qwen: Qwen3 235B A22B Instruct 2507 — $0.22/M, score 1070.0 DeepSeek: R1 0528 — $0.5/M, score 1161.0 Qwen: Qwen3 30B A3B — $0.12/M, score 967.0 Meta: Llama 4 Scout — $0.1/M, score 762.0 Amazon: Nova Pro 1.0 — $0.8/M, score 808.0 OpenAI: GPT-5 Nano — $0.05/M, score 1114.0 StepFun: Step 3.7 Flash — $0.2/M, score 1206.0 Google: Gemini 2.5 Flash (batch) Input price per million tokens (log scale) Elo

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.

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Change log

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Public API

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API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/google/gemini-2.5-flash:batch
curl
curl "https://model.kyssta.lol/api/v1/models/google/gemini-2.5-flash:batch"
Common questions

Frequently asked questions

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

What is Google: Gemini 2.5 Flash (batch)?

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater. It is published by Google and catalogued here from OpenRouter.

What is the context length of Google: Gemini 2.5 Flash (batch)?

Google: Gemini 2.5 Flash (batch) accepts up to 1.04858M tokens of context and returns up to 65.535K output tokens.

Does Google: Gemini 2.5 Flash (batch) support tool calling and structured output?

Provider catalogs list support for image input.

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