Model comparison
GPT-5-Codex vs Mistral Nemo
GPT-5-Codex is the stronger model overall, scoring 37.9 to 26.4 on the Noometry Index. Mistral Nemo costs 23× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 20.7.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Mistral Nemo | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.9 | 26.4 |
| Released | 2025-09-15 | 2024-07-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.25 | $0.15 |
| Output $ / M tokens | $10 | $0.15 |
| Results tracked | 3 | 10 |
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Category by category
Coding Not comparable
GPT-5-Codex: 42.4 (#103), Mistral Nemo: —
| Benchmark | GPT-5-Codex | Mistral Nemo |
|---|---|---|
| WeirdML | 54.5% | — |
Agentic & Tool Use GPT-5-Codex leads
GPT-5-Codex: 31.0 (#72), Mistral Nemo: 23.5 (#125)
| Benchmark | GPT-5-Codex | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.9 (#83), Mistral Nemo: 20.7 (#232)
| Benchmark | GPT-5-Codex | Mistral Nemo |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| DTBench | — | 48.6% |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Not comparable
GPT-5-Codex: —, Mistral Nemo: 25.5 (#268)
| Benchmark | GPT-5-Codex | Mistral Nemo |
|---|---|---|
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Not comparable
GPT-5-Codex: —, Mistral Nemo: 12.3 (#298)
| Benchmark | GPT-5-Codex | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| BoolQ | — | 82.5% |
Writing & Preference Not comparable
GPT-5-Codex: —, Mistral Nemo: 28.5 (#296)
| Benchmark | GPT-5-Codex | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | — | 881 |
Frequently asked questions
Is GPT-5-Codex better than Mistral Nemo?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 26.4 on the Noometry Index. Mistral Nemo costs 23× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5-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-Codex lists at $1.25 and $10.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-5-Codex and Mistral Nemo share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Mistral Nemo has 10.