Inference availability
Providers Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.
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Specification
Capabilities Recorded from the source catalog and provider listings.
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Reasoning
Unknown
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Tool calling
Unknown
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Structured output
Unknown
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Attachments
Unknown
✓
Vision input
Yes
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Open weights
Unknown
Model family Not documented
Knowledge cutoff Not documented
License Not documented
Release date Not documented
Model ID google/gemini-3.7-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
Coding IndexCoding Index
Agentic IndexAgentic Index
Design Arena: w…Design Arena: website
IntelligenceIntelligence Index
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: 76.1 index (93.5th percentile)
This model — Agentic Index: 45.1 index (82.1th percentile)
This model — Design Arena: website: 1319 elo (95.8th percentile)
This model — Intelligence Index: 56 index (89.6th percentile)
This model — Design Arena: codecategories: 1334 elo (95.9th percentile)
This model — Design Arena: gamedev: 1370 elo (95.9th percentile)
This model — Design Arena: dataviz: 1317 elo (90.7th percentile)
This model — Design Arena: uicomponent: 1317 elo (87.9th 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
#11 of 168
2.7
median 44.8
78.0
Agentic Index
#28 of 156
0.3
median 22.4
59.2
Design Arena: website
#5 of 154
761.0
median 1198.0
1369.0
Intelligence Index
#16 of 154
5.5
median 37.4
63.1
Design Arena: codecategories
#5 of 146
809.0
median 1195.0
1403.0
Design Arena: gamedev
#6 of 146
812.0
median 1205.0
1439.0
Design Arena: dataviz
#13 of 145
876.0
median 1196.0
1372.0
Design Arena: uicomponent
#17 of 141
795.0
median 1200.0
1384.0
Design Arena: 3d
#5 of 136
888.0
median 1209.0
1448.0
Design Arena: androidnative
#7 of 54
996.0
median 1208.0
1295.0
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
41
83
$0.01
$0.1
$1
$10
GPT-5.6 Luna — $0.2/M, score 71.4
GPT-5.6 Terra — $2/M, score 76.7
GPT-5.6 Sol — $5/M, score 77.4
SpaceXAI: Grok 4.5 — $2/M, score 72.4
Claude Sonnet 5 — $2/M, score 71.5
Z.ai: GLM 5.2 — $0.476/M, score 68.8
Kimi K2.7 Code — $0.95/M, score 60.8
Claude Fable 5 — $10/M, score 76.5
Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1
Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3
Qwen: Qwen3.7 Plus — $0.32/M, score 55.9
MiniMax: MiniMax M3 — $0.3/M, score 58.6
Step 3.7 Flash — $0.185/M, score 39.6
Anthropic: Claude Opus 4.8 — $5/M, score 74.3
Qwen: Qwen3.7 Max — $1.475/M, score 66.0
SpaceXAI: Grok Build 0.1 — $1/M, score 51.5
Gemini 3.5 Flash — $1.5/M, score 70.1
inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8
SpaceXAI: Grok 4.3 — $1.25/M, score 42.2
IBM: Granite 4.1 8B — $0.05/M, score 9.5
Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9
Qwen: Qwen3.6 35B A3B — $0.14/M, score 41.9
Qwen: Qwen3.6 27B — $0.289/M, score 53.7
GPT-5.5 — $5/M, score 74.9
DeepSeek V4 Pro — $0.435/M, score 58.7
DeepSeek V4 Flash — $0.14/M, score 56.2
Hy3 preview — $0.066/M, score 58.8
MiMo-V2.5-Pro — $0.435/M, score 60.2
MiMo-V2.5 — $0.14/M, score 56.8
inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3
Kimi K2.6 — $0.95/M, score 61.8
Anthropic: Claude Opus 4.7 — $5/M, score 73.6
Z.ai: GLM 5.1 — $0.966/M, score 55.8
Gemma 4 26B A4B IT — $0.06/M, score 39.3
Gemma 4 31B IT — $0.08/M, score 43.4
Qwen: Qwen3.6 Plus — $0.325/M, score 54.5
Trinity Large Thinking — $0.22/M, score 25.8
Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5
MiniMax: MiniMax M2.7 — $0.3/M, score 52.6
GPT-5.4 nano — $0.2/M, score 56.1
GPT-5.4 mini — $0.75/M, score 56.1
Mistral: Mistral Small 4 — $0.15/M, score 26.6
Nemotron 3 Super 120B A12B — $0.2/M, score 37.7
Qwen: Qwen3.5-9B — $0.1/M, score 28.7
GPT-5.4 — $2.5/M, score 71.1
Inception: Mercury 2 — $0.25/M, score 31.1
Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7
Qwen: Qwen3.5-35B-A3B — $0.225/M, score 37.0
Qwen: Qwen3.5-122B-A10B — $0.29/M, score 45.7
Gemini 3.1 Pro Preview — $2/M, score 68.8
Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0
Qwen: Qwen3.5 397B A17B — $0.39/M, score 48.2
Qwen: Qwen3 Coder Next — $0.12/M, score 36.2
Kimi K2.5 — $0.6/M, score 46.8
Upstage: Solar Pro 3 — $0.15/M, score 16.2
Z.ai: GLM 4.7 — $0.4/M, score 45.3
Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4
Mistral: Devstral 2 2512 — $0.4/M, score 31.3
Amazon: Nova 2 Lite — $0.3/M, score 23.0
Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4
Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7
Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8
Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1
DeepSeek V3.2 — $0.18/M, score 44.2
GPT-5.1 — $1.25/M, score 49.4
Kimi K2 Thinking — $0.6/M, score 21.0
Anthropic: Claude Haiku 4.5 — $1/M, score 43.9
Z.ai: GLM 4.6 — $0.5/M, score 45.8
Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1
DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5
Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4
Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1
Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5
GPT-5 — $1.25/M, score 37.8
GPT-5 Mini — $0.25/M, score 15.6
GPT OSS 120B — $0.03/M, score 30.4
GPT OSS 20B — $0.03/M, score 20.7
Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1
Gemini 2.5 Pro — $1.25/M, score 33.3
Anthropic: Claude Sonnet 4 — $3/M, score 37.6
Google: Gemma 3n 4B — $0.06/M, score 3.2
Qwen: Qwen3 8B — $0.117/M, score 9.0
Qwen: Qwen3 14B — $0.12/M, score 13.8
Qwen: Qwen3 32B — $0.08/M, score 15.3
GPT-4.1 mini — $0.4/M, score 20.2
GPT-4.1 nano — $0.1/M, score 11.1
Meta: Llama 4 Maverick — $0.2/M, score 16.3
Meta: Llama 4 Scout — $0.1/M, score 8.2
DeepSeek: DeepSeek V3 0324 — $0.27/M, score 21.2
Google: Gemma 3 4B — $0.05/M, score 2.7
Google: Gemma 3 12B — $0.05/M, score 5.8
Cohere: Command A — $2.5/M, score 27.8
Google: Gemma 3 27B — $0.08/M, score 10.1
OpenAI: o3 Mini High — $1.1/M, score 16.3
DeepSeek-R1 — $0.7/M, score 24.6
o1 — $15/M, score 39.7
Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9
Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4
GPT-4o mini — $0.15/M, score 11.4
GPT-4o (2024-05-13) — $5/M, score 24.2
GPT-4 Turbo — $10/M, score 21.5
GPT-4 — $30/M, score 13.1
GPT-3.5-turbo — $0.5/M, score 10.7
Muse Spark 1.1 — $1.25/M, score 71.3
Kimi K3 — $3/M, score 76.2
Inkling — $1.87/M, score 52.1
Gemini 3.6 Flash — $1.5/M, score 69.2
Gemini 3.5 Flash Lite — $0.3/M, score 49.3
Claude Opus 5 — $5/M, score 78.0
Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2
Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3
Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5
Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5
MiniMax: MiniMax M3 (batch) — $0.15/M, score 58.6
Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3
Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1
OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9
Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6
OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1
OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1
OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1
Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8
OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4
Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9
Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1
OpenAI: GPT-5 (batch) — $0.625/M, score 37.8
OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6
Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3
DeepSeek V4 Flash 0731 — $0.08/M, score 69.1
Inkling Small — $0.45/M, score 52.9
DeepSeek V4 Pro 0813 — $0.435/M, score 68.8
Qwen: Qwen3.8 Max — $2/M, score 71.8
Ling-3.0-flash — $0.021/M, score 50.6
Claude Opus 5 (batch) — $2.5/M, score 78.0
Thinking Machines: Inkling (batch) — $0.5/M, score 52.1
OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4
OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7
OpenAI: GPT-5.6 Sol (batch) — $1.25/M, score 77.4
Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8
MoonshotAI: Kimi K2.7 Code (batch) — $0.475/M, score 60.8
NVIDIA: Nemotron 3 Ultra (batch) — $0.3/M, score 49.3
Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0
OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2
OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1
OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3
OpenAI: o1 (batch) — $7.5/M, score 39.7
OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4
OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5
OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7
Solar Pro 4 — $0.3/M, score 52.7
Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8
SpaceXAI: Grok 4.6 — $2/M, score 76.8
Gemini 3.7 Flash — $0.75/M, score 76.1
Google: Gemini 3.7 Flash (batch) — $0.188/M, score 76.1
Google: Gemini 3.7 Flash (batch)
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 Aug 17, 2026
Status Source-linked
Confidence Medium
Catalog source OpenRouter
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://www.modelbench.lol/api/v1/models/google/gemini-3.7-flash:batchcurl Copy
curl "https://www.modelbench.lol/api/v1/models/google/gemini-3.7-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 3.7 Flash (batch)?
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step. It is published by Google and catalogued here from OpenRouter.
What is the context length of Google: Gemini 3.7 Flash (batch)?
Google: Gemini 3.7 Flash (batch) accepts up to 1.04858M tokens of context and returns up to 65.536K output tokens.
Does Google: Gemini 3.7 Flash (batch) support tool calling and structured output?
Provider catalogs list support for image input.
