GPT-4 vs Mistral Large 3 675B Instruct
GPT-4 (2023) and Mistral Large 3 675B Instruct (2025) are compact production models from OpenAI and MistralAI. GPT-4 ships a 8k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On pricing, Mistral Large 3 675B Instruct 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 3 675B Instruct 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 3 675B Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps 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 | 6 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GPT-4 uniquely exposes Function calling and Code execution in local model data.
- Local decision data tags GPT-4 for Coding, Agents, and Vision.
- Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 3 675B Instruct has the lower cheapest tracked output price at $1.50/1M tokens.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Large 3 675B Instruct 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 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
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 3 675B Instruct is $58.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling 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 Function calling and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-03-14 | 2025-12-01 |
| Context window | 8k | 128k |
| Parameters | 1.76T (8x222B MoE)* | 675B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Proprietary | Apache 2.0OSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2021-09 | 2024-11 |
Pricing and availability
| Pricing attribute | GPT-4 | Mistral Large 3 675B Instruct |
|---|---|---|
| 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 3 675B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | No | No |
| 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 function calling: GPT-4 and code execution: GPT-4. Both models share vision, multimodal input, 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 3 675B Instruct 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 3 675B Instruct lower by about $38.20 per million blended tokens. Availability is 4 providers versus 6, so concentration risk also matters.
Choose GPT-4 when coding workflow support are central to the workload. Choose Mistral Large 3 675B Instruct 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 3 675B Instruct?
Mistral Large 3 675B Instruct 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 3 675B Instruct?
Mistral Large 3 675B Instruct is cheaper on tracked token pricing. GPT-4 costs $30/1M input and $60/1M output tokens. Mistral Large 3 675B Instruct 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 3 675B Instruct open source?
GPT-4 is listed under Proprietary. Mistral Large 3 675B Instruct is listed under Apache 2.0. 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 3 675B Instruct?
Both GPT-4 and Mistral Large 3 675B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, GPT-4 or Mistral Large 3 675B Instruct?
Both GPT-4 and Mistral Large 3 675B Instruct 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 and Mistral Large 3 675B Instruct?
GPT-4 is available on OpenAI API, Azure OpenAI, Salesforce Einstein Generative AI, and OpenRouter. Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.