GPT-5.2 Codex vs Mixtral 8x22B Instruct v0.3
GPT-5.2 Codex (2025) and Mixtral 8x22B Instruct v0.3 (2024) are agentic coding models from OpenAI and MistralAI. GPT-5.2 Codex ships a not-yet-sourced context window, while Mixtral 8x22B Instruct v0.3 ships a 64K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
GPT-5.2 Codex is safer overall; choose Mixtral 8x22B Instruct v0.3 when provider fit matters.
Specs
| Released | 2025-12-18 | 2024-07-01 |
| Context window | — | 64K |
| Parameters | — | 8x22B |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Apache 2.0 |
| Knowledge cutoff | - | - |
Pricing and availability
| GPT-5.2 Codex | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| Input price | - | $2/1M tokens |
| Output price | - | $2/1M tokens |
| Providers | - |
Capabilities
| GPT-5.2 Codex | Mixtral 8x22B Instruct v0.3 | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GPT-5.2 Codex, multimodal input: GPT-5.2 Codex, reasoning mode: GPT-5.2 Codex, tool use: GPT-5.2 Codex, and code execution: GPT-5.2 Codex. Both models share function calling, 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.
Pricing coverage is uneven: GPT-5.2 Codex has no token price sourced yet and Mixtral 8x22B Instruct v0.3 has $2/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-5.2 Codex when coding workflow support are central to the workload. Choose Mixtral 8x22B Instruct v0.3 when provider fit 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. 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
Is GPT-5.2 Codex or Mixtral 8x22B Instruct v0.3 open source?
GPT-5.2 Codex is listed under Proprietary. Mixtral 8x22B Instruct v0.3 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-5.2 Codex or Mixtral 8x22B Instruct v0.3?
GPT-5.2 Codex 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-5.2 Codex or Mixtral 8x22B Instruct v0.3?
GPT-5.2 Codex 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.
Which is better for reasoning mode, GPT-5.2 Codex or Mixtral 8x22B Instruct v0.3?
GPT-5.2 Codex has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, GPT-5.2 Codex or Mixtral 8x22B Instruct v0.3?
Both GPT-5.2 Codex and Mixtral 8x22B Instruct v0.3 expose function calling. 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-5.2 Codex and Mixtral 8x22B Instruct v0.3?
GPT-5.2 Codex is available on the tracked providers still being sourced. Mixtral 8x22B Instruct v0.3 is available on Replicate API. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-18. Data sourced from public model cards and provider documentation.