GPT-4 vs Mistral Large 2 (2407)
GPT-4 (2023) and Mistral Large 2 (2407) (2024) are compact production models from OpenAI and MistralAI. GPT-4 ships a 8K-token context window, while Mistral Large 2 (2407) ships a 128K-token context window. On pricing, Mistral Large 2 (2407) costs $0.50/1M input tokens versus $30/1M 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 ~5900% cheaper at $0.50/1M; pay for GPT-4 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 | 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, Agents, and Vision | Coding, RAG, and Agents |
| Context window | 8K | 128K |
| Cheapest output | $60/1M tokens | $1.50/1M tokens |
| Provider routes | 4 tracked | 7 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags GPT-4 for Coding, Agents, and Vision.
- Mistral Large 2 (2407) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- 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
$39,000
Cheapest tracked route/tier: OpenAI API
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $38,225. 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 $58.50/1M 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 is $58.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GPT-4 adds Vision, Multimodal, and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-03-14 | 2024-07-24 |
| Context window | 8K | 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 | 2021-09 | 2024-03 |
Pricing and availability
| Pricing attribute | GPT-4 | Mistral Large 2 (2407) |
|---|---|---|
| Input price | $30/1M tokens | $0.50/1M tokens |
| Output price | $60/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 | 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
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4, multimodal input: GPT-4, and code execution: GPT-4. 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 lists $30/1M input and $60/1M 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 $38.20 per million blended tokens. Availability is 4 providers versus 7, so concentration risk also matters.
Choose GPT-4 when coding workflow support are central to the workload. Choose Mistral Large 2 (2407) when long-context analysis, larger context windows, 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. 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-4 or Mistral Large 2 (2407)?
Mistral Large 2 (2407) supports 128K tokens, while GPT-4 supports 8K 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 or Mistral Large 2 (2407)?
Mistral Large 2 (2407) is cheaper on tracked token pricing. GPT-4 costs $30/1M input and $60/1M 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 or Mistral Large 2 (2407) open source?
GPT-4 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 or Mistral Large 2 (2407)?
GPT-4 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 or Mistral Large 2 (2407)?
GPT-4 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 and Mistral Large 2 (2407)?
GPT-4 is available on OpenAI API, Azure OpenAI, Salesforce Models API, and OpenRouter. 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.