GPT-4 Turbo vs Mistral Large 2 (2407)
GPT-4 Turbo (2024) and Mistral Large 2 (2407) (2024) are compact production models from OpenAI and MistralAI. Both ship a 128K-token context window. On MMLU PRO, GPT-4 Turbo leads by 3.5 pts. On pricing, Mistral Large 2 (2407) costs $0.50/1M 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 (2407) is ~900% cheaper at $0.50/1M; pay for GPT-4 Turbo only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | 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 | $1.50/1M tokens |
| Provider routes | 6 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 3 shared |
Decision tradeoffs
- GPT-4 Turbo holds a shared-benchmark lead on MMLU PRO, ahead by 3.5 points.
- GPT-4 Turbo uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags GPT-4 Turbo for Coding, RAG, and Agents.
- Mistral Large 2 (2407) holds a shared-benchmark lead on Chatbot Arena, ahead by 24 points.
- 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.
GPT-4 Turbo
$7,750
Cheapest tracked route/tier: Replicate API
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $6,975. 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 $13.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4 Turbo is $13.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 Turbo adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-09 | 2024-07-24 |
| Context window | 128K | 128K |
| Parameters | 1.76T (8x222B MoE)* | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Mistral License |
| Openness | Proprietary | Open weights |
| Weights | Not released | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Not permitted |
| Knowledge cutoff | 2023-12 | 2024-03 |
Pricing and availability
| Pricing attribute | GPT-4 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| Input price | $5/1M tokens | $0.50/1M tokens |
| Output price | $15/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | 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 | GPT-4 Turbo | Mistral Large 2 (2407) |
|---|---|---|
| MMLU PRO | 69.4 | 65.9 |
| Chatbot Arena | 1242.0 | 1266.0 |
| 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 (2407) at 65.9, with GPT-4 Turbo ahead by 3.5 points; Chatbot Arena has GPT-4 Turbo at 1242 and Mistral Large 2 (2407) at 1266, with Mistral Large 2 (2407) ahead by 24 points; Massive Multitask Language Understanding has GPT-4 Turbo at 86.5 and Mistral Large 2 (2407) at 84, with GPT-4 Turbo ahead by 2.5 points. The largest visible gap is 24 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: GPT-4 Turbo, multimodal input: GPT-4 Turbo, JSON / Tool use: GPT-4 Turbo, and code execution: GPT-4 Turbo. 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, GPT-4 Turbo lists $5/1M input and $15/1M output tokens on the cheapest tracked provider, 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 $7.20 per million blended tokens. Availability is 6 providers versus 7, so concentration risk also matters.
Choose GPT-4 Turbo when coding workflow support 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, GPT-4 Turbo or Mistral Large 2 (2407)?
GPT-4 Turbo supports 128K 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, GPT-4 Turbo or Mistral Large 2 (2407)?
Mistral Large 2 (2407) is cheaper on tracked token pricing. GPT-4 Turbo costs $5/1M input and $15/1M output tokens. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GPT-4 Turbo or Mistral Large 2 (2407) open source?
GPT-4 Turbo 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, GPT-4 Turbo or Mistral Large 2 (2407)?
GPT-4 Turbo 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. 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 (2407)?
GPT-4 Turbo 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 GPT-4 Turbo and Mistral Large 2 (2407)?
GPT-4 Turbo is available on OpenAI API, Azure OpenAI, Salesforce Models API, OpenRouter, and Replicate API. 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.