Model comparison
GPT-5.3 Codex vs MiniMax-M2.5
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 38.1 on the Noometry Index. MiniMax-M2.5 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 5 shared benchmarks.
MiniMaxSummary
- They share 5 benchmarks with published results for both. GPT-5.3 Codex scores higher in 2 categories and MiniMax-M2.5 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 30.2.
- The biggest single-benchmark swing is Terminal-Bench: 78.4% for GPT-5.3 Codex and 42.7% for MiniMax-M2.5.
- MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 205K.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | MiniMax-M2.5 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 45.5 | 38.1 |
| Released | 2026-02-05 | 2026-02-12 |
| Weights | Proprietary | Open |
| Context window | 400K | 205K |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.75 | $0.30 |
| Output $ / M tokens | $14 | $1.20 |
| Results tracked | 8 | 33 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
GPT-5.3 Codex: 48.5 (#51), MiniMax-M2.5: 47.9 (#53)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| LMArena WebDev | 1408 | 1386 |
| ALE-Bench | 1,655 | 618.17 |
| SWE-bench Verified | 74.8% | — |
| SWE-bench Verified (bash only) | — | 75.8% |
| SWE-bench Multilingual | — | 68.3% |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1380 |
Agentic & Tool Use GPT-5.3 Codex leads
GPT-5.3 Codex: 47.8 (#9), MiniMax-M2.5: 30.2 (#70)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | 78.4% | 42.7% |
| Vending-Bench 2 | 5,940 | -23.16 |
| METR Time Horizons | 74.5% | — |
Reasoning Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 17.6 (#281)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| Epoch Capabilities Index | 156.84 | 146.68 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| LMArena Hard Prompts | — | 1372 |
Math Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 25.8 (#242)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| ProofBench | — | 4% |
| LMArena Math | — | 1378 |
Knowledge Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 38.6 (#132)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| Vectara Hallucination Rate | — | 9.1% |
| LMArena Expert | — | 1378 |
Multilingual Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 47.3 (#147)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | — | 1338 |
| LMArena Chinese | — | 1392 |
| LMArena French | — | 1363 |
| LMArena German | — | 1361 |
| LMArena Japanese | — | 1169 |
| LMArena Korean | — | 1232 |
| LMArena Russian | — | 1359 |
| LMArena Spanish | — | 1354 |
Instruction Following Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 71.7 (#143)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | — | 1353 |
Long Context Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 37.4 (#211)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
| LMArena Longer Query | — | 1367 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, MiniMax-M2.5: 54.1 (#149)
| Benchmark | GPT-5.3 Codex | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | — | 1359 |
| LMArena Creative Writing | — | 1331 |
| EQ-Bench Creative Writing | — | 1361 |
| LMArena Multi-Turn | — | 1364 |
Frequently asked questions
Is GPT-5.3 Codex better than MiniMax-M2.5?
GPT-5.3 Codex is the stronger model overall, scoring 45.5 to 38.1 on the Noometry Index. MiniMax-M2.5 costs 9.2× 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 MiniMax-M2.5?
MiniMax-M2.5 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GPT-5.3 Codex or MiniMax-M2.5 better for coding?
They score almost the same on coding (48.5 vs 47.9); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 205K.
How many benchmarks do GPT-5.3 Codex and MiniMax-M2.5 share?
5 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and MiniMax-M2.5 has 33.