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Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation of the Gemini 3 series, it combines high-precision reasoning across text, image, video, audio, and code with a 1M-token context window. Reasoning Details must be preserved when using multi-turn tool calling, see our docs here: https://openrouter.ai/docs/use-cases/reasoning-tokens#preserving-reasoning. The 3.1 update introduces measurable gains in SWE benchmarks and real-world coding environments, along with stronger autonomous task execution in structured domains such as finance and spreadsheet-based workflows. Designed for advanced development and agentic systems, Gemini 3.1 Pro Preview improves long-horizon stability and tool orchestration while increasing token efficiency. It introduces a new medium thinking level to better balance cost, speed, and performance. The model excels in agentic coding, structured planning, multimodal analysis, and workflow automation, making it well-suited for autonomous agents, financial modeling, spreadsheet automation, and high-context enterprise tasks.
Quality Index
57.2
1st of 442
Top 0%
Coding Index
55.5
2nd of 352
Top 1%
Price/1M
$4.50
612th cheapest
1352% above median
Top 91%
Speed
120 tok/s
Top 23%
TTFT
21.32s
Context Window
1.0M
8th largest
Top 6%
Input
$2.00
per 1M tokens
Output
$12.00
per 1M tokens
Blended
$4.50
per 1M tokens
Cheaper than 9% of models. Median price is $0.31/1M tokens.
Daily
$4.50
Monthly
$135.00
120
tokens/sec
Faster than 77% of models
21.32
seconds
Faster than 3% of models
21.32
seconds
Faster than 13% of models
Market Median
46 tok/s
163% faster
Median TTFT
0.42s
5000% slower
Throughput/Dollar
27
tok/s per $/1M
Speed Comparison
Context Window
1.0M
tokens
Larger than 94% of models
Max Output
66K
tokens
6% of context