aiticker

Google · Released Apr 2, 2026

Gemma 4 31B

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...

Free tierReasoningOpen weightsVision
  • Top 44%LMCA
Compare in showdown → OpenRouter ↗ All Google models
Released
Apr 2 2026
Context window
262K 16K out
Input / 1M tokens
$0.20 from Free
Output / 1M tokens
$0.40 from Free

Where to run it

48 providers compared

Free to try on Google AI Studio, UnoRouter, Requesty, Bothub, AMD +3 more — free endpoints are often limited-time and rate-limited. Cheapest: DevPass (LLM Gateway) at $0.10 / $0.25 per 1M input / output tokens — 95% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
Google AI Studiofree · may be limited-time Free Free —262K33K99.6%24h Free
UnoRouterfree · may be limited-time Free Free —262K33K— Free
Requestyfree · may be limited-time Free Free —262K8K— Free
Bothubfree · may be limited-time Free Free —262K33K— Free
AMDfree · may be limited-time Free Free Free262K33K— Free
InferXfree · may be limited-time Free Free —262K33K— Free
Poefree · may be limited-time Free Free —262K8K— Free
Nvidiafree · may be limited-time Free Free —256K16K— Free
DevPass (LLM Gateway) $0.10 $0.25 $0.01262K33K— Cheapest
FastRouter $0.10 $0.30 —262K33K— +9%
CoreWeaveFP4 $0.10 $0.34 $0.10262K236K100%24h +16%
Kilo Gateway $0.10 $0.34 $0.10262K16K— +16%
Lilac $0.11 $0.35 —262K262K— +24%
Kenari $0.10 $0.41 $0.041262K33K— +30%
VeniceFP4 $0.12 $0.36 $0.09256K8K98.1%24h +31%
Venice AI $0.12 $0.36 $0.09256K8K— +31%
ChutesFP4 $0.12 $0.37 $0.012131K66K95.2%24h +33%
OrcaRouter $0.13 $0.38 $0.02262K33K— +40%
DeepInfraFP8 · no tool calling $0.16 $0.32 —262K236K98.2%24h +45%
Friendli $0.14 $0.40 —262K8K100%24h +49%
CrusoeBF16 $0.14 $0.40 $0.14262K262K98.8%24h +49%
NovitaBF16 $0.14 $0.40 —262K131K84%24h +49%
Vercel AI Gateway $0.14 $0.40 —262K131K— +49%
LLM Gateway $0.14 $0.40 —262K33K— +49%
Novita AI $0.14 $0.40 —262K131K— +49%
Amazon Bedrock $0.14 $0.40 —262K33K— +49%
Abacus $0.14 $0.40 —262K131K— +49%
Hugging Face $0.14 $0.40 —262K33K— +49%
Ollama Cloud $0.14 $0.40 $0.05262K262K— +49%
Merge Gatewayno tool calling $0.14 $0.40 —262K66K— +49%
ParasailFP8 $0.15 $0.40 $0.06262K236K100%24h +55%
Neuralwatt $0.14 $0.42 $0.014262K16K— +55%
DeepInfraFP4 $0.14 $0.51 $0.075262K16K99.9%24h +66%
DeepInfraFP8 $0.20 $0.40 —262K16K98.4%24h +82%
DigitalOcean $0.18 $0.50 $0.036256K8K— +89%
Cortecs $0.22 $0.39 —262K262K— +93%
ai& $0.20 $0.50 $0.05262K33K— +100%
Infomaniak $0.25 $0.50 —100K33K— +127%
Berget.AI $0.28 $0.56 —128K8K— +155%
DeepInfrapriority · FP8 · no tool calling $0.30 $0.60 —262K236K93.2%24h +173%
Pioneer $0.50 $0.50 $0.5033K33K— +264%
Io Net $0.36 $1.09 $0.18262K16K93.5%24h +296%
NanoGPT $0.40 $1.00 $0.40262K131K— +300%
Tinfoil $0.40 $1.00 —262K33K— +300%
SambaNova $0.38 $1.15 —131K118K99.8%24h +316%
ModelRunFP4 $0.75 $1.00 $0.20262K236K100%24h +491%
SiliconFlowFP8 $0.75 $1.00 $0.25262K236K95.3%24h +491%
Regolo AI $0.46 $2.42 —100K100K— +591%
Opper $0.47 $2.44 —256K8K— +597%
AI/ML API $1.36 $2.05 $1.36256K16K— +1015%
LLMTR $2.00 $5.00 $0.50131K131K— +1900%

Value

Price vs. performance

14 models score higher for the same price or lesson GPQA Diamond, e.g. DeepSeek V4.1 Flash 1017.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.70/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.044/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.44/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Gemma 4 31B

Gemma 4 31B Other Google Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

7 benchmark scores

BenchmarkScoreRankLeader
SciCodeSoftware engineering · Research-coding problems from the natural sciences 45.5% #63of 102 Claude Opus 5.566.9%
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 10.4% #76of 79 Gemini 4 Argon76.0%
WebDev ArenaDesign & visual · People vote on which model builds the better website (Elo) 1364 #74of 90 Claude Opus 5.51820
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 75.8% #80of 122 Gemini 4 Argon96.4%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 1.4% #73of 111 GPT-5.6 Sol32.3%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 39.3% #53of 123 Claude Sonnet 5.568.3%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 73.3% #78of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
google/gemma-4-31b-it
Developer
Google
Release date
Apr 2, 2026 ·
Context window
262,144 tokens
Max output
16,384 tokens
API price
$0.20 / $0.40 per 1M input / output tokens
Providers
48
Input types
image, text, video
Reasoning
Yes
Tool calling
Yes
Open weights
Yes
Free tier
Yes

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.