Model comparison
GPT-5.3 Codex vs Ministral 8B
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 28.2 on the Noometry Index. Ministral 8B 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 . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 16.4.
- Ministral 8B 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 262K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Ministral 8B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 45.8 | 28.2 |
| Released | 2026-02-05 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $1.75 | $0.15 |
| Output $ / M tokens | $14 | $0.15 |
| Results tracked | 8 | 17 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.6 (#56), Ministral 8B: 35.0 (#230)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1202 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use GPT-5.3 Codex leads
GPT-5.3 Codex: 48.0 (#9), Ministral 8B: 16.4 (#148)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| Berkeley Function Calling Leaderboard | — | 11.1% |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Ministral 8B: 18.4 (#281)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | — | 1191 |
| DTBench | — | 45.7% |
| Epoch Capabilities Index | 156.77 | — |
Math Not comparable
GPT-5.3 Codex: —, Ministral 8B: 25.7 (#267)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| LMArena Math | — | 1188 |
| MATH Level 5 | — | 14.9% |
Knowledge Not comparable
GPT-5.3 Codex: —, Ministral 8B: 12.6 (#297)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| GPQA Diamond | — | 27.1% |
| Vectara Hallucination Rate | — | 7.4% |
| LMArena Expert | — | 1170 |
Multilingual Not comparable
GPT-5.3 Codex: —, Ministral 8B: 35.1 (#247)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| LMArena Non-English | — | 1165 |
| LMArena Chinese | — | 1193 |
| LMArena Russian | — | 1195 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Ministral 8B: 60.5 (#250)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | — | 1161 |
Long Context Not comparable
GPT-5.3 Codex: —, Ministral 8B: 36.7 (#227)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| LMArena Longer Query | — | 1212 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Ministral 8B: 39.6 (#246)
| Benchmark | GPT-5.3 Codex | Ministral 8B |
|---|---|---|
| LMArena Text | — | 1191 |
| LMArena Creative Writing | — | 1175 |
| LMArena Multi-Turn | — | 1166 |
Frequently asked questions
Is GPT-5.3 Codex better than Ministral 8B?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 28.2 on the Noometry Index. Ministral 8B 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 Ministral 8B?
Ministral 8B 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.
Is GPT-5.3 Codex or Ministral 8B better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 35.0 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.3 Codex and Ministral 8B share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Ministral 8B has 17.