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 $0.5/1M input tokens versus $30/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral Large 3 675B Instruct is ~5900% cheaper at $0.5/1M; pay for GPT-4 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | GPT-4 | Mistral Large 3 675B Instruct |
|---|---|---|
| Decision fit | Coding, Agents, and Vision | RAG, Agents, and Long context |
| Context window | 8K | 128K |
| Cheapest output | $60/1M tokens | $1.5/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-4 has broader tracked provider coverage for fallback and procurement flexibility.
- GPT-4 uniquely exposes Vision, Multimodal, and Function calling 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 $1.5/1M tokens.
- Local decision data tags Mistral Large 3 675B Instruct for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
GPT-4
$39,000
Cheapest tracked route: OpenAI API
Mistral Large 3 675B Instruct
$775
Cheapest tracked route: AWS Bedrock
Estimated monthly gap: $38,225. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GPT-4 and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
- 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 Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and GPT-4; plan for SDK, billing, or endpoint changes.
- 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 Function calling 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 | 1 |
| Knowledge cutoff | 2021-09 | - |
Pricing and availability
| Pricing attribute | GPT-4 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $30/1M tokens | $0.5/1M tokens |
| Output price | $60/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-4, multimodal input: GPT-4, function calling: GPT-4, and code execution: GPT-4. Both models share 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, while Mistral Large 3 675B Instruct lists $0.5/1M input and $1.5/1M 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 3, so concentration risk also matters.
Choose GPT-4 when coding workflow support and broader provider choice 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 $0.5/1M input and $1.5/1M 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 1. 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?
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 3 675B Instruct?
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 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 AWS Bedrock, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.