Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Gemini 3.1 Pro Preview | Mistral Large (Feb '24) |
|---|---|---|
| Input ($/M tokens) | $2 | $4 |
| Output ($/M tokens) | $12 | $12 |
Verdict. Gemini 3.1 Pro Preview wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the mid-tier bracket for output-token pricing. At 1.0× the per-million-token cost, Mistral Large (Feb '24) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Mistral Large (Feb '24) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Gemini 3.1 Pro Preview is strongest on Coding Index (68.8), Intelligence Index (47.7). Mistral Large (Feb '24) leads on Intelligence Index (4.1).
Speed. Speed data is incomplete for this pair; benchmark and price should decide.
Provider. Google and Mistral sell to overlapping but distinct developer audiences: Google tends to ship frontier reasoning models with premium positioning, while Mistral often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Gemini 3.1 Pro Preview costs $240.00 ($2880/year); Mistral Large (Feb '24) costs $300.00 ($3600/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Gemini 3.1 Pro Preview ≈ $34.00/run, Mistral Large (Feb '24) ≈ $44.00/run. At agent/realtime scale (200M input / 100M output per million requests): Gemini 3.1 Pro Preview ≈ $1600/run, Mistral Large (Feb '24) ≈ $2000/run. Gemini 3.1 Pro Preview becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Data from Artificial Analysis API — 12 benchmarks
Gemini 3.1 Pro Preview is cheaper overall. Its blended price (3:1 input/output ratio) is $4.50/M tokens vs $6.00/M for Mistral Large (Feb '24).
Gemini 3.1 Pro Preview wins 2 out of 12 benchmarks compared to 0 for Mistral Large (Feb '24). See the detailed benchmark chart above for per-category results.
Gemini 3.1 Pro Preview generates tokens faster at 108 tok/s vs — tok/s. Gemini 3.1 Pro Preview also has lower time-to-first-token (32.45s vs —s).
Choose based on your priorities: Gemini 3.1 Pro Preview for lower cost, Gemini 3.1 Pro Preview for stronger benchmark performance, and Gemini 3.1 Pro Preview for faster generation. For latency-sensitive apps, check the TTFT comparison above.