LLM Reference

Codex 1 vs Mistral Large 2

Codex 1 (2025) and Mistral Large 2 (2025) compare a coding-specialized model against a standalone API model. Codex 1 ships a 192k-token context window, while Mistral Large 2 ships a 128k-token context window. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: Codex 1 is coding-specialized model, while Mistral Large 2 is standalone API model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalCodex 1Mistral Large 2
Product typeCoding-specialized modelStandalone API model
Best forcustom coding agents and code generationmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, Agents, and Long contextCoding, RAG, and Agents
Context window192k128k
Cheapest output-$2.40/1M tokens
Provider routes0 tracked4 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Codex 1 when...
  • Codex 1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Codex 1 uniquely exposes Reasoning and Code execution in local model data.
  • Local decision data tags Codex 1 for Coding, Agents, and Long context.
Choose Mistral Large 2 when...
  • Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Large 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
  • Local decision data tags Mistral Large 2 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.

Codex 1

Unavailable

No complete token price in local provider data

Mistral Large 2

$984

Cheapest tracked route/tier: AWS Bedrock

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Codex 1 -> Mistral Large 2
  • No overlapping tracked provider route is sourced for Codex 1 and Mistral Large 2; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning and Code execution before moving production traffic.
  • Mistral Large 2 adds Vision, Multimodal, and Function calling in local capability data.
Mistral Large 2 -> Codex 1
  • No overlapping tracked provider route is sourced for Mistral Large 2 and Codex 1; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
  • Codex 1 adds Reasoning and Code execution in local capability data.

Specs

Specification
Released2025-05-162025-11-25
Context window192k128k
Parameters123B
Architecturedecoder onlydecoder only
LicenseProprietaryMistral License
OpennessProprietaryOpen weights
Commercial useCommercial use with conditionsNon-commercial only
Knowledge cutoff-2025-07

Pricing and availability

Pricing attributeCodex 1Mistral Large 2
Input price-$0.48/1M tokens
Output price-$2.40/1M tokens
Providers-

Capabilities

CapabilityCodex 1Mistral Large 2
VisionNoYes
MultimodalNoYes
ReasoningYesNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Mistral Large 2, multimodal input: Mistral Large 2, reasoning mode: Codex 1, function calling: Mistral Large 2, tool use: Mistral Large 2, structured outputs: Mistral Large 2, and code execution: Codex 1. Both models share the core language-model surface, 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: Codex 1 has no token price sourced yet and Mistral Large 2 has $0.48/1M input tokens. Provider availability is 0 tracked routes versus 4. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Codex 1 when coding workflow support and larger context windows are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation 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.

FAQ

Which has a larger context window, Codex 1 or Mistral Large 2?

Codex 1 supports 192k tokens, while Mistral Large 2 supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Codex 1 or Mistral Large 2 open source?

Codex 1 is listed under Proprietary. Mistral Large 2 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, Codex 1 or Mistral Large 2?

Mistral Large 2 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.

Which is better for multimodal input, Codex 1 or Mistral Large 2?

Mistral Large 2 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, Codex 1 or Mistral Large 2?

Codex 1 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.

Where can I run Codex 1 and Mistral Large 2?

Codex 1 is available on the tracked providers still being sourced. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, 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.