Model comparison
GPT-5.2 Codex vs Ministral 8B
GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 27.8 on the Noometry Index. Ministral 8B costs 48× less per token, which makes it the better buy when GPT-5.2 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-5.2 Codex leads 40.7 to 16.2.
- Ministral 8B is cheaper at $0.10 / $0.10 per million input/output tokens, against $1.75 / $14 for GPT-5.2 Codex.
- GPT-5.2 Codex accepts more context: 400K tokens versus 128K.
- Ministral 8B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Codex | Ministral 8B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 42.2 | 27.8 |
| Released | 2025-12-18 | 2024-10-01 |
| Weights | Proprietary | Open |
| Context window | 400K | 128K |
| Max output | 128K | 128K |
| Input $ / M tokens | $1.75 | $0.10 |
| Output $ / M tokens | $14 | $0.10 |
| Results tracked | 5 | 17 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.4 (#66), Ministral 8B: 34.4 (#226)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| LMArena Coding | — | 1202 |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use GPT-5.2 Codex leads
GPT-5.2 Codex: 40.7 (#20), Ministral 8B: 16.2 (#140)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| Terminal-Bench | 66.5% | — |
| Berkeley Function Calling Leaderboard | — | 11.1% |
Reasoning Not comparable
GPT-5.2 Codex: —, Ministral 8B: 17.7 (#279)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| LMArena Hard Prompts | — | 1191 |
| DTBench | — | 45.7% |
Math Not comparable
GPT-5.2 Codex: —, Ministral 8B: 23.7 (#262)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| LMArena Math | — | 1188 |
| MATH Level 5 | — | 14.9% |
Knowledge Not comparable
GPT-5.2 Codex: —, Ministral 8B: 12.5 (#292)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| GPQA Diamond | — | 27.1% |
| Vectara Hallucination Rate | — | 7.4% |
| LMArena Expert | — | 1170 |
Multilingual Not comparable
GPT-5.2 Codex: —, Ministral 8B: 35.3 (#242)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| LMArena Non-English | — | 1165 |
| LMArena Chinese | — | 1193 |
| LMArena Russian | — | 1195 |
Instruction Following Not comparable
GPT-5.2 Codex: —, Ministral 8B: 60.7 (#245)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| LMArena Instruction Following | — | 1161 |
Long Context Not comparable
GPT-5.2 Codex: —, Ministral 8B: 36.7 (#222)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| LMArena Longer Query | — | 1212 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, Ministral 8B: 39.8 (#241)
| Benchmark | GPT-5.2 Codex | Ministral 8B |
|---|---|---|
| LMArena Text | — | 1191 |
| LMArena Creative Writing | — | 1175 |
| LMArena Multi-Turn | — | 1166 |
Frequently asked questions
Is GPT-5.2 Codex better than Ministral 8B?
GPT-5.2 Codex is the stronger model overall, scoring 42.2 to 27.8 on the Noometry Index. Ministral 8B costs 48× less per token, which makes it the better buy when GPT-5.2 Codex's lead doesn't matter for your workload.
Which is cheaper, GPT-5.2 Codex or Ministral 8B?
Ministral 8B is cheaper. It lists at $0.10 per million input tokens and $0.10 per million output tokens; GPT-5.2 Codex lists at $1.75 and $14.
Is GPT-5.2 Codex or Ministral 8B better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-5.2 Codex and Ministral 8B share?
0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Ministral 8B has 17.