Model comparison
GPT-5-Codex vs Magistral Small
GPT-5-Codex is the stronger model overall, scoring 37.3 to 29.9 on the Noometry Index. Magistral Small costs 4.6× less per token, which makes it the better buy when GPT-5-Codex's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 2 categories and Magistral Small in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 6.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 70.3% for GPT-5-Codex and 6.3% for Magistral Small.
- Magistral Small is cheaper at $0.50 / $1.50 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 128K.
- Magistral Small has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Magistral Small | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 37.3 | 29.9 |
| Released | 2025-09-15 | 2025-06-10 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 40K |
| Input $ / M tokens | $1.25 | $0.50 |
| Output $ / M tokens | $10 | $1.50 |
| Results tracked | 3 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 41.9 (#100), Magistral Small: 37.8 (#172)
Agentic & Tool Use Not comparable
GPT-5-Codex: 30.8 (#66), Magistral Small: —
| Benchmark | GPT-5-Codex | Magistral Small |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.0 (#80), Magistral Small: 6.9 (#345)
| Benchmark | GPT-5-Codex | Magistral Small |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | 6.3% |
| ARC-AGI-2 | — | 0% |
| ARC-AGI-1 | — | 5% |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 3% |
| DTBench | — | 61.3% |
| Epoch Capabilities Index | — | 133.19 |
Math Not comparable
GPT-5-Codex: —, Magistral Small: 24.9 (#253)
| Benchmark | GPT-5-Codex | Magistral Small |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 30% |
Knowledge Not comparable
GPT-5-Codex: —, Magistral Small: 30.9 (#215)
| Benchmark | GPT-5-Codex | Magistral Small |
|---|---|---|
| GPQA Diamond | — | 56.1% |
Frequently asked questions
Is GPT-5-Codex better than Magistral Small?
GPT-5-Codex is the stronger model overall, scoring 37.3 to 29.9 on the Noometry Index. Magistral Small costs 4.6× 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 Magistral Small?
Magistral Small is cheaper. It lists at $0.50 per million input tokens and $1.50 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Magistral Small better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 37.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-5-Codex and Magistral Small share?
1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Magistral Small has 10.