Gemini 2.5 Pro vs Mistral Large 2 (2407)
Gemini 2.5 Pro (2025) and Mistral Large 2 (2407) (2024) are frontier reasoning models from Google DeepMind and MistralAI. Gemini 2.5 Pro ships a 1M-token context window, while Mistral Large 2 (2407) ships a 128K-token context window. On MMLU PRO, Gemini 2.5 Pro leads by 20.3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 2.5 Pro fits 8x more tokens; pick it for long-context work and Mistral Large 2 (2407) for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 2.5 Pro | Mistral Large 2 (2407) |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | tool-calling agents and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1M | 128K |
| Cheapest output | $10/1M tokens | $1.50/1M tokens |
| Provider routes | 4 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 3 shared |
Decision tradeoffs
- Gemini 2.5 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 20.3 points.
- Gemini 2.5 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 2.5 Pro uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Gemini 2.5 Pro for Coding, RAG, and Agents.
- Mistral Large 2 (2407) has the lower cheapest tracked output price at $1.50/1M tokens.
- Mistral Large 2 (2407) has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Mistral Large 2 (2407) 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 2.5 Pro
$3,500
Cheapest tracked route/tier: Google AI Studio <=200K tokens
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $2,725. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Large 2 (2407) is $8.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Gemini 2.5 Pro is $8.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Gemini 2.5 Pro adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-17 | 2024-07-24 |
| Context window | 1M | 128K |
| Parameters | — | 123B |
| Architecture | Decoder Only | Decoder Only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Not permitted |
| Knowledge cutoff | 2025-01 | 2024-03 |
Pricing and availability
| Pricing attribute | Gemini 2.5 Pro | Mistral Large 2 (2407) |
|---|---|---|
| Input price |
| $0.50/1M tokens |
| Output price |
| $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 2.5 Pro | Mistral Large 2 (2407) |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| JSON / Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Gemini 2.5 Pro | Mistral Large 2 (2407) |
|---|---|---|
| MMLU PRO | 86.2 | 65.9 |
| HumanEval | 93.1 | 92.0 |
| Chatbot Arena | 1398.0 | 1266.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Gemini 2.5 Pro at 86.2 and Mistral Large 2 (2407) at 65.9, with Gemini 2.5 Pro ahead by 20.3 points; HumanEval has Gemini 2.5 Pro at 93.1 and Mistral Large 2 (2407) at 92, with Gemini 2.5 Pro ahead by 1.1 points; Chatbot Arena has Gemini 2.5 Pro at 1398 and Mistral Large 2 (2407) at 1266, with Gemini 2.5 Pro ahead by 132 points. The largest visible gap is 132 points on Chatbot Arena, 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 vision: Gemini 2.5 Pro, multimodal input: Gemini 2.5 Pro, reasoning mode: Gemini 2.5 Pro, JSON / Tool use: Gemini 2.5 Pro, and code execution: Gemini 2.5 Pro. Both models share JSON / Tool use 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 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output, while Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 (2407) lower by about $3.08 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 7, so concentration risk also matters.
Choose Gemini 2.5 Pro when coding workflow support and larger context windows are central to the workload. Choose Mistral Large 2 (2407) when provider fit, lower input-token cost, 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 2.5 Pro or Mistral Large 2 (2407)?
Gemini 2.5 Pro supports 1M tokens, while Mistral Large 2 (2407) 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 2.5 Pro or Mistral Large 2 (2407)?
Gemini 2.5 Pro lists tiered pricing: <=200K tokens is $1.25/1M input and $10/1M output; >200K tokens is $2.50/1M input and $15/1M output. Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Gemini 2.5 Pro or Mistral Large 2 (2407) open source?
Gemini 2.5 Pro is listed under Proprietary. Mistral Large 2 (2407) is listed under Mistral License. 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 2.5 Pro or Mistral Large 2 (2407)?
Gemini 2.5 Pro has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Gemini 2.5 Pro or Mistral Large 2 (2407)?
Gemini 2.5 Pro has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Gemini 2.5 Pro and Mistral Large 2 (2407)?
Gemini 2.5 Pro is available on Google AI Studio, GCP Vertex AI, OpenRouter, and Vercel AI Gateway. Mistral Large 2 (2407) is available on Microsoft Foundry, IBM watsonx, OpenRouter, AWS Bedrock, and Chutes AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.