GPT-5.2 vs Mistral Large 2
GPT-5.2 (2025) and Mistral Large 2 (2025) are frontier reasoning models from OpenAI and MistralAI. GPT-5.2 ships a 400k-token context window, while Mistral Large 2 ships a 128k-token context window. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $1.75/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2 is ~265% cheaper at $0.48/1M; pay for GPT-5.2 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-5.2 | Mistral Large 2 |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 400k | 128k |
| Cheapest output | $14/1M tokens | $2.40/1M tokens |
| Provider routes | 3 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GPT-5.2 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags GPT-5.2 for Coding, RAG, and Agents.
- Mistral Large 2 has the lower cheapest tracked output price at $2.40/1M tokens.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Large 2 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.
GPT-5.2
$4,900
Cheapest tracked route/tier: Replicate API
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $3,916. 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 is $11.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-5.2 is $11.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-5.2 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2025-11-25 |
| Context window | 400k | 128k |
| Parameters | — | 123B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | 2025-08 | 2025-07 |
Pricing and availability
| Pricing attribute | GPT-5.2 | Mistral Large 2 |
|---|---|---|
| Input price | $1.75/1M tokens | $0.48/1M tokens |
| Output price | $14/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.2 | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| 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
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GPT-5.2 and code execution: GPT-5.2. Both models share vision, multimodal input, function calling, and tool use, 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, GPT-5.2 lists $1.75/1M input and $14/1M output tokens on the cheapest tracked provider, while Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Large 2 lower by about $4.37 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose GPT-5.2 when coding workflow support and larger context windows are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation, 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, GPT-5.2 or Mistral Large 2?
GPT-5.2 supports 400k tokens, while Mistral Large 2 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, GPT-5.2 or Mistral Large 2?
Mistral Large 2 is cheaper on tracked token pricing. GPT-5.2 costs $1.75/1M input and $14/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-5.2 or Mistral Large 2 open source?
GPT-5.2 is listed under Proprietary. Mistral Large 2 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, GPT-5.2 or Mistral Large 2?
Both GPT-5.2 and Mistral Large 2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GPT-5.2 or Mistral Large 2?
Both GPT-5.2 and Mistral Large 2 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run GPT-5.2 and Mistral Large 2?
GPT-5.2 is available on Replicate API, OpenRouter, and Vercel AI Gateway. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.