Model comparison
GPT-5.3 Chat vs MiniMax-M2.5
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
MiniMaxSummary
- They share 18 benchmarks with published results for both. GPT-5.3 Chat scores higher in 6 categories and MiniMax-M2.5 in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.3 Chat leads 38.2 to 26.9.
- MiniMax-M2.5 is cheaper at $0.30 / $1.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- MiniMax-M2.5 accepts more context: 205K tokens versus 128K.
- MiniMax-M2.5 has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Chat | MiniMax-M2.5 | |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Noometry Index | 42.8 | 38.3 |
| Released | 2026-03-03 | 2026-02-12 |
| Weights | Proprietary | Open |
| Context window | 128K | 205K |
| Max output | 16K | 131K |
| Input $ / M tokens | $1.75 | $0.30 |
| Output $ / M tokens | $14 | $1.20 |
| Results tracked | 18 | 33 |
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Category by category
Coding MiniMax-M2.5 leads
GPT-5.3 Chat: 41.4 (#124), MiniMax-M2.5: 48.1 (#58)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Coding | 1408 | 1381 |
| SWE-bench Verified (bash only) | — | 75.8% |
| LMArena WebDev | — | 1387 |
| SWE-bench Multilingual | — | 68.3% |
| ALE-Bench | — | 618.17 |
Agentic & Tool Use Not comparable
GPT-5.3 Chat: —, MiniMax-M2.5: 30.4 (#77)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| Terminal-Bench | — | 42.7% |
| Vending-Bench 2 | — | -23.16 |
Reasoning GPT-5.3 Chat leads
GPT-5.3 Chat: 28.5 (#102), MiniMax-M2.5: 17.5 (#292)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1372 |
| ARC-AGI-2 | — | 4.9% |
| Kagi LLM Benchmark | — | 55.2% |
| NYT Connections (extended) | — | 16.8% |
| ARC-AGI-1 | — | 63.7% |
| Epoch Capabilities Index | — | 146.68 |
Math GPT-5.3 Chat leads
GPT-5.3 Chat: 38.2 (#142), MiniMax-M2.5: 26.9 (#253)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Math | 1389 | 1378 |
| ProofBench | — | 4% |
Knowledge Too close to call
GPT-5.3 Chat: 38.8 (#140), MiniMax-M2.5: 39.2 (#135)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Expert | 1397 | 1379 |
| Vectara Hallucination Rate | — | 9.1% |
Multilingual GPT-5.3 Chat leads
GPT-5.3 Chat: 50.3 (#124), MiniMax-M2.5: 47.1 (#152)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Non-English | 1382 | 1338 |
| LMArena Chinese | 1432 | 1393 |
| LMArena French | 1397 | 1362 |
| LMArena German | 1384 | 1362 |
| LMArena Japanese | 1352 | 1171 |
| LMArena Korean | 1346 | 1232 |
| LMArena Russian | 1400 | 1358 |
| LMArena Spanish | 1371 | 1354 |
Instruction Following GPT-5.3 Chat leads
GPT-5.3 Chat: 72.8 (#129), MiniMax-M2.5: 71.5 (#148)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Instruction Following | 1378 | 1353 |
Long Context GPT-5.3 Chat leads
GPT-5.3 Chat: 42.6 (#120), MiniMax-M2.5: 37.5 (#216)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Longer Query | 1396 | 1366 |
| CL-bench | — | 11.4% |
| CL-bench Life | — | 6.3% |
Writing & Preference GPT-5.3 Chat leads
GPT-5.3 Chat: 63.1 (#68), MiniMax-M2.5: 53.9 (#153)
| Benchmark | GPT-5.3 Chat | MiniMax-M2.5 |
|---|---|---|
| LMArena Text | 1389 | 1359 |
| LMArena Creative Writing | 1355 | 1331 |
| EQ-Bench Creative Writing | 1690 | 1361 |
| LMArena Multi-Turn | 1412 | 1364 |
Frequently asked questions
Is GPT-5.3 Chat better than MiniMax-M2.5?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 38.3 on the Noometry Index. MiniMax-M2.5 costs 9.2× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, GPT-5.3 Chat 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 Chat lists at $1.75 and $14.
Is GPT-5.3 Chat or MiniMax-M2.5 better for coding?
MiniMax-M2.5 scores higher on coding benchmarks: 48.1 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
MiniMax-M2.5 does, with 205K tokens against 128K.
How many benchmarks do GPT-5.3 Chat and MiniMax-M2.5 share?
18 benchmarks have published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and MiniMax-M2.5 has 33.