GoogleGemini 3.1 Pro Customtools
Gemini 3.1 Pro Customtools is a Google proprietary reasoning model, released 19 Feb 2026. It is not yet ranked: 1 independent result so far, and the index needs at least five across two categories. At $4.50 per million tokens blended it is among the most expensive ranked models. Output speed of 74 tokens per second puts it slower than most, with a first token in 2.5 s. Last measured 19 Feb 2026.stale: no new result in six months
- Blended price
- $4.50/M
- $2.00 in · $12.00 out
- Output speed
- 74 tok/s
- OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
- First answer
- 2.46 s
- Context
- 1.0M
- Full answer
- –
- Cost per run
- –
- Released
- 19 Feb 2026
- Coding57
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Coding
| Benchmark | not stated | Source |
|---|---|---|
| SWE-bench Verified (Epoch) | 75.6%#12 | Epoch AI Benchmarking Hub |
Agents & tools
| Benchmark | not stated | Source |
|---|---|---|
| Vending-Bench 2not in index | 3774.3#44 | Andon Labs |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Google AI Studio | 52 tok/s | 2.23 s | $2.00 | $12.00 | 1.0M | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.200 per 1M. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0044 | $0.0039 | 6.5 s |
| Summarize a 30-page report | 12,000 / 600 | $0.031 | $0.015 | 10.6 s |
| Code edit | 6,000 / 1,500 | $0.030 | $0.022 | 22.7 s |
| Agentic coding session | 60,000 / 4,000 | $0.168 | $0.087 | 56.5 s |
| Structured extraction | 2,000 / 200 | $0.0064 | $0.0037 | 5.2 s |
More from Google
See also
Questions people ask
- Why does Gemini 3.1 Pro Customtools have no BenchLeader Index score?
- The index needs at least five independent results across at least two categories; as of 24 Oct 2026 Gemini 3.1 Pro Customtools has 1 that count. Launch-post scores are never used, so it is ranked once independent publishers have measured it.
- How much does Gemini 3.1 Pro Customtools cost per 1M tokens?
- As of 24 Oct 2026, Gemini 3.1 Pro Customtools costs $2.00 per 1M input tokens and $12.00 per 1M output tokens, $4.50 blended (three input tokens per output token).
- When was Gemini 3.1 Pro Customtools released?
- Google released Gemini 3.1 Pro Customtools on 19 Feb 2026.
Data as of 24 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Gemini 3.1 Pro Customtools: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/gemini-3-1-pro-customtools.