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/gemma-4-31b-it: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
IntelligenceIntelligence Index
This model — Coding Index: 43.4 index (43.2th percentile)
This model — Agentic Index: 6.7 index (30.8th percentile)
This model — Intelligence Index: 15.4 index (27.1th percentile)
Each axis is this model's percentile among the 3 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
#116 of 205
2.7
median 49.3
81.6
Agentic Index
#133 of 193
0.1
median 19.7
58.0
Intelligence Index
#139 of 192
3.8
median 25.6
55.0
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
43
86
$0.01
$0.1
$1
$10
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
OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2
Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7
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
GPT-5.4 — $2.5/M, score 71.1
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 4.5 (batch) — $1.5/M, score 52.1
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
OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4
GPT-3.5-turbo — $0.5/M, score 10.7
GPT-4 — $30/M, score 13.1
SpaceXAI: Grok 4.6 — $2/M, score 76.8
Claude Opus 5 — $5/M, score 78.0
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
Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7
Gemma 3 27B IT — $0.08/M, score 10.1
Gemma 4 31B IT — $0.09/M, score 43.4
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
GPT-5.6 Luna — $0.2/M, score 71.4
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
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
Google: Gemma 4 31B (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 Sep 11, 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://model.kyssta.lol/api/v1/models/google/gemma-4-31b-it:batchcurl Copy
curl "https://model.kyssta.lol/api/v1/models/google/gemma-4-31b-it: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: Gemma 4 31B (batch)?
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function. It is published by Google and catalogued here from OpenRouter.
What is the context length of Google: Gemma 4 31B (batch)?
Google: Gemma 4 31B (batch) accepts up to 262.144K tokens of context and returns up to 235.929K output tokens.
Does Google: Gemma 4 31B (batch) support tool calling and structured output?
Provider catalogs list support for image input.
