Model comparison
GPT-5.3 Codex vs Mistral Nemo
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 25.9 on the Noometry Index. Mistral Nemo costs 32× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. GPT-5.3 Codex scores higher in 1 category and Mistral Nemo in 0 categories; one gap is clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 47.8 to 23.3.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Mistral Nemo | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.5 | 25.9 |
| Released | 2026-02-05 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.75 | $0.15 |
| Output $ / M tokens | $14 | $0.15 |
| Results tracked | 8 | 10 |
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Category by category
Coding Not comparable
GPT-5.3 Codex: 48.5 (#51), Mistral Nemo: —
| Benchmark | GPT-5.3 Codex | Mistral Nemo |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1408 | — |
| WeirdML | 79.3% | — |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use GPT-5.3 Codex leads
GPT-5.3 Codex: 47.8 (#9), Mistral Nemo: 23.3 (#118)
| Benchmark | GPT-5.3 Codex | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Mistral Nemo: 19.9 (#230)
| Benchmark | GPT-5.3 Codex | Mistral Nemo |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 118.63 |
| DTBench | — | 48.6% |
| PIQA | — | 83.5% |
Math Not comparable
GPT-5.3 Codex: —, Mistral Nemo: 23.5 (#263)
| Benchmark | GPT-5.3 Codex | Mistral Nemo |
|---|---|---|
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Not comparable
GPT-5.3 Codex: —, Mistral Nemo: 12.3 (#293)
| Benchmark | GPT-5.3 Codex | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| BoolQ | — | 82.5% |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Mistral Nemo: 28.6 (#291)
| Benchmark | GPT-5.3 Codex | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | — | 881 |
Frequently asked questions
Is GPT-5.3 Codex better than Mistral Nemo?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 25.9 on the Noometry Index. Mistral Nemo costs 32× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Codex or Mistral Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-5.3 Codex and Mistral Nemo share?
1 benchmark has published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Mistral Nemo has 10.