GPT-4 Turbo vs Mistral Large 2
GPT-4 Turbo (2024) and Mistral Large 2 (2025) are compact production models from OpenAI and MistralAI. GPT-4 Turbo ships a 128k-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, Mistral Large 2 leads by a hair. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $5/1M 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 ~942% cheaper at $0.48/1M; pay for GPT-4 Turbo only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo | Mistral Large 2 |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 128k |
| Cheapest output | $15/1M tokens | $2.40/1M tokens |
| Provider routes | 6 tracked | 4 tracked |
| Shared benchmarks | 3 rows | MMLU PRO leader |
Decision tradeoffs
- GPT-4 Turbo leads the largest shared benchmark signal on Massive Multitask Language Understanding by 2.5 points.
- GPT-4 Turbo has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 Turbo uniquely exposes Code execution in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
- Mistral Large 2 leads the largest shared benchmark signal on MMLU PRO by 0.3 points.
- Mistral Large 2 has the lower cheapest tracked output price at $2.40/1M tokens.
- 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-4 Turbo
$7,750
Cheapest tracked route/tier: Replicate API
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $6,766. 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 $12.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4 Turbo is $12.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 Turbo adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-09 | 2025-11-25 |
| Context window | 128k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 123B |
| Architecture | mixture of experts | decoder only |
| License | Proprietary | True |
| Knowledge cutoff | 2023-12 | 2025-07 |
Pricing and availability
| Pricing attribute | GPT-4 Turbo | Mistral Large 2 |
|---|---|---|
| Input price | $5/1M tokens | $0.48/1M tokens |
| Output price | $15/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | 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
| Benchmark | GPT-4 Turbo | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 69.4 | 69.7 |
| Chatbot Arena | 1242.0 | 1265.0 |
| Massive Multitask Language Understanding | 86.5 | 84.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has GPT-4 Turbo at 69.4 and Mistral Large 2 at 69.7, with Mistral Large 2 ahead by 0.3 points; Chatbot Arena has GPT-4 Turbo at 1242 and Mistral Large 2 at 1265, with Mistral Large 2 ahead by 23 points; Massive Multitask Language Understanding has GPT-4 Turbo at 86.5 and Mistral Large 2 at 84, with GPT-4 Turbo ahead by 2.5 points. The largest visible gap is 23 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 code execution: GPT-4 Turbo. 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-4 Turbo lists $5/1M input and $15/1M 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 $6.94 per million blended tokens. Availability is 6 providers versus 4, so concentration risk also matters.
Choose GPT-4 Turbo when coding workflow support and broader provider choice are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation and lower input-token cost 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, GPT-4 Turbo or Mistral Large 2?
GPT-4 Turbo supports 128k 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-4 Turbo or Mistral Large 2?
Mistral Large 2 is cheaper on tracked token pricing. GPT-4 Turbo costs $5/1M input and $15/1M 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-4 Turbo or Mistral Large 2 open source?
GPT-4 Turbo is listed under Proprietary. Mistral Large 2 is listed under True. 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-4 Turbo or Mistral Large 2?
Both GPT-4 Turbo 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-4 Turbo or Mistral Large 2?
Both GPT-4 Turbo 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.
Where can I run GPT-4 Turbo and Mistral Large 2?
GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, OpenRouter, and Replicate API. 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.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.