Mistral Large 3 vs GPT-5.3 Codex
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Mistral Large 3 | GPT-5.3-Codex |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Mistral Large 3 | Gpt 5 3 |
| Model | Mistral Large 3 | GPT-5.3-Codex |
| Version | Mistral Large 3 | GPT-5.3-Codex |
| Lifecycle | active | active |
| Released | 2025-12-02 | Unknown |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 400K |
| Total parameters | 675B | Unknown |
| Active parameters | 41B | Unknown |
| License | Apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | chat, generation, reasoning, structured_outputs, tools |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Mistral Large 3 Capabilities
GPT-5.3 Codex Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Mistral Large 3Mistral AI | vs | GPT-6 AstraOpenAI | cross-developer peersimage, text |
Claude Fable 5.1Anthropic | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
 Gemini 3.1 ProGoogle DeepMind | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
 DeepSeek-V4-ProDeepSeek | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Mistral Large 3Mistral AI | vs | Grok 4.6xAI | cross-developer peersimage, text |
Mistral Large 3Mistral AI | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Mistral Large 3Mistral AI | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
Mistral Large 3Mistral AI | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Mistral Large 3Mistral AI | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
| vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs GPT-5.3 Codex FAQs
Is Mistral Large 3 or GPT-5.3 Codex better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and GPT-5.3 Codex, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or GPT-5.3 Codex?+
Mistral Large 3 is $0.50 and GPT-5.3 Codex is $1.75 per million tokens, so Mistral Large 3 is cheaper on this metric. Mistral Large 3 is $1.50 and GPT-5.3 Codex is $14.00 per million tokens, so Mistral Large 3 is cheaper on this metric.
Which has a larger context window, Mistral Large 3 or GPT-5.3 Codex?+
GPT-5.3 Codex has the larger sourced context window. Mistral Large 3 supports 262K and GPT-5.3 Codex supports 400K.
Which performs better in benchmarks, Mistral Large 3 or GPT-5.3 Codex?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Large 3 or GPT-5.3 Codex be self-hosted?+
Mistral Large 3 is the only model in this pair currently marked as self-hostable. Mistral Large 3 is open weight; GPT-5.3 Codex is not marked open weight.
Can Mistral Large 3 and GPT-5.3 Codex understand images?+
Mistral Large 3 is documented with image input; GPT-5.3 Codex is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Large 3 or GPT-5.3 Codex?+
Neither has a larger sourced maximum output. Mistral Large 3 is — and GPT-5.3 Codex is 128K.
Do Mistral Large 3 and GPT-5.3 Codex support reasoning and tool use?+
Mistral Large 3: tool calling and image input. GPT-5.3 Codex: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Large 3 or GPT-5.3 Codex?+
Mistral Large 3 has 2 sourced provider routes; GPT-5.3 Codex has 2, a tie.
Which offers better value, Mistral Large 3 or GPT-5.3 Codex?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.