Gemini 3.1 Pro Preview
gemini-3.1-pro-preview
Last refreshed 2026-05-11. Next refresh: weekly.
Gemini 3.1 Pro Preview is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Decision context: Coding task fit, 4 tracked provider routes, and research from 2026-04-19.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 1M context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$12.00
GCP Vertex AI per 1M tokens
Provider routes
4
Tracked API hosts
Quality / dollar
Grade D
Ranked by benchmark score divided by cheapest output price
Freshness
2026-04-19
Researched 29d ago
Top use-case fit
Coding
Q/$ D2 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Q/$ C3 relevant benchmarks in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| GCP Vertex AI | $2.00 | $12.00 | Serverless |
| Google AI Studio | $2.00 | $12.00 | Serverless |
| OpenRouter | $2.00 | $12.00 | Serverless |
| Replicate API | $2.00 | $12.00 | Serverless |
Benchmark peer barsfor Coding
Migration checks
No linked migration route is available for this model yet.
About
Google: Gemini 3.1 Pro Preview available via OpenRouter. Pricing: $2/1M input, $12/1M output.
Gemini 3.1 Pro Preview has a 1M-token context window.
Gemini 3.1 Pro Preview input tokens at $2/1M, output at $12/1M.
Capabilities
Benchmark Scores(7)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| SWE-bench Pro | 54.2 | — | DAT-1778 |
| SWE-bench Verified | 80.6 | SWE-bench Verified | https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-1-pro/ |
| τ-bench | 76.5 | τ-bench | https://taubench.com/ |
| MultiChallenge | 71.4 | MultiChallenge | https://labs.scale.com/leaderboard/multichallenge |
| Google-Proof Q&A | 94.3 | diamond | Artificial Analysis, LLM Stats, MindStudio, and multiple third-party aggregators |
| ARC Prize / ARC Challenge | 77.1 | ARC-AGI-2 | Artificial Analysis, LLM Stats, NxCode |
| Chatbot Arena | 1493.0 | — | https://arena.ai/leaderboard |
