Gemini 3.1 Flash Lite Preview vs Mistral Large 3 675B Instruct
Gemini 3.1 Flash Lite Preview (2026) and Mistral Large 3 675B Instruct (2025) are compact production models from Google DeepMind and MistralAI. Gemini 3.1 Flash Lite Preview ships a 1m-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 2.5 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 3.1 Flash Lite Preview is ~100% cheaper at $0.25/1M; pay for Mistral Large 3 675B Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Gemini 3.1 Flash Lite Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 128k |
| Cheapest output | $1.50/1M tokens | $1.50/1M tokens |
| Provider routes | 4 tracked | 6 tracked |
| Shared benchmarks | 3 shared | MMLU PRO leader |
Decision tradeoffs
- Gemini 3.1 Flash Lite Preview holds a shared-benchmark lead on Google-Proof Q&A, ahead by 43.0 points.
- Gemini 3.1 Flash Lite Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3.1 Flash Lite Preview uniquely exposes Function calling, Tool use, and Code execution in local model data.
- Local decision data tags Gemini 3.1 Flash Lite Preview for Coding, RAG, and Agents.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 2.5 points.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Gemini 3.1 Flash Lite Preview
$575
Cheapest tracked route/tier: Google AI Studio
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $200. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Function calling, Tool use, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Gemini 3.1 Flash Lite Preview adds Function calling, Tool use, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-03 | 2025-12-01 |
| Context window | 1m | 128k |
| Parameters | — | 675B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-01 | 2024-11 |
Pricing and availability
| Pricing attribute | Gemini 3.1 Flash Lite Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.25/1M tokens | $0.50/1M tokens |
| Output price | $1.50/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3.1 Flash Lite Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 3.1 Flash Lite Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| MMLU PRO | 83.0 | 85.5 |
| Google-Proof Q&A | 86.9 | 43.9 |
| LiveCodeBench | 72.0 | 82.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 3.1 Flash Lite Preview at 83 and Mistral Large 3 675B Instruct at 85.5, with Mistral Large 3 675B Instruct ahead by 2.5 points; Google-Proof Q&A has Gemini 3.1 Flash Lite Preview at 86.9 and Mistral Large 3 675B Instruct at 43.9, with Gemini 3.1 Flash Lite Preview ahead by 43.0 points; LiveCodeBench has Gemini 3.1 Flash Lite Preview at 72 and Mistral Large 3 675B Instruct at 82.8, with Mistral Large 3 675B Instruct ahead by 10.8 points. The largest visible gap is 43.0 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on function calling: Gemini 3.1 Flash Lite Preview, tool use: Gemini 3.1 Flash Lite Preview, and code execution: Gemini 3.1 Flash Lite Preview. Both models share vision, multimodal input, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Gemini 3.1 Flash Lite Preview lists $0.25/1M input and $1.50/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Gemini 3.1 Flash Lite Preview lower by about $0.17 per million blended tokens. Availability is 4 providers versus 6, so concentration risk also matters.
Choose Gemini 3.1 Flash Lite Preview when coding workflow support, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Gemini 3.1 Flash Lite Preview or Mistral Large 3 675B Instruct?
Gemini 3.1 Flash Lite Preview supports 1m tokens, while Mistral Large 3 675B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 3.1 Flash Lite Preview or Mistral Large 3 675B Instruct?
Gemini 3.1 Flash Lite Preview is cheaper on tracked token pricing. Gemini 3.1 Flash Lite Preview costs $0.25/1M input and $1.50/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3.1 Flash Lite Preview or Mistral Large 3 675B Instruct open source?
Gemini 3.1 Flash Lite Preview is listed under Proprietary. Mistral Large 3 675B Instruct is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Gemini 3.1 Flash Lite Preview or Mistral Large 3 675B Instruct?
Both Gemini 3.1 Flash Lite Preview and Mistral Large 3 675B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Gemini 3.1 Flash Lite Preview or Mistral Large 3 675B Instruct?
Both Gemini 3.1 Flash Lite Preview and Mistral Large 3 675B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Gemini 3.1 Flash Lite Preview and Mistral Large 3 675B Instruct?
Gemini 3.1 Flash Lite Preview is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.