GPT-5 Nano vs MiniMax M2
MiniMax M2 leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 18.6 to 13.0, and GPT-5 Nano costs 2.5x less per output token ($0.40 vs $1.02 per million). Updated October 22, 2026; 45 benchmarks have a result for both.
GPT-5 Nano or MiniMax M2: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5 Nano for output tokens 2.5x cheaper ($0.40 vs $1.02 per million) and a lower cost per solved task ($0.109 against $0.702).
- Shared results
- 45
- GPT-5 Nano only
- 42
- MiniMax M2 only
- 5
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
MiniMax M2
MiniMax M2 leads, 18.6 against 13.0.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only GPT-5 Nano has a GPQA Diamond result, 63.4%.
Directional only
Math
AIME
No call
Only GPT-5 Nano has a AIME result, 81.2%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-5 Nano has a MMLU Pro result, 76.1%.
Directional only
Web design
Design Arena: websites
MiniMax M2
MiniMax M2 leads, 1143 against 1101.
Same board, both measured
Long documents
Listed context window
GPT-5 Nano
GPT-5 Nano takes 400K tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5 Nano
GPT-5 Nano $0.0003, MiniMax M2 $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
GPT-5 Nano
GPT-5 Nano $0.109, MiniMax M2 $0.702.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5 Nano not benchmarked, MiniMax M2 not benchmarked.
- Widest category
- Agentic work, 50.3 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: GPT-5 Nano 36.5% against MiniMax M2 86.8%, 50.3 points apart on a 0 to 100 scale.
- Output price
- GPT-5 Nano $0.40 against MiniMax M2 $1.02 per million output tokens, 2.5x apart.
- Context window
- GPT-5 Nano takes 400K tokens, MiniMax M2 205K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-5 Nano | Bars | MiniMax M2 | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 1 | 5 | ||
| Math | 2 | 2 | ||
| Knowledge | 0 | 5 | ||
| Web design | 0 | 6 | ||
| General | 2 | 14 | ||
| All shared boards | 5 | 40 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| SWE-bench Verified | 34.8% | 61.0% | MiniMax M2 |
| LMArena WebDev | Not measured | 1297 | Only MiniMax M2 measured |
| LiveCodeBench (Vals AI) | 70.2% | Not measured | Only GPT-5 Nano measured |
| LiveCodeBench (Artificial Analysis run) | 78.9% | 82.6% | MiniMax M2 |
| Terminal-Bench Hard (Artificial Analysis run) | 17.4% | 25.8% | MiniMax M2 |
| Terminal-Bench | 21.8% | 30.0% | MiniMax M2 |
| WeirdML | 38.1% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: coding | 1351 | 1371 | MiniMax M2 |
| LMArena Text: software and IT | 1345 | 1373 | MiniMax M2 |
| LMArena WebDev: HTML | Not measured | 1306 | Only MiniMax M2 measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.0 | 18.6 | MiniMax M2 |
| Epoch Capabilities Index | 139.2 | Not measured | Only GPT-5 Nano measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 36.5% | 86.8% | MiniMax M2 |
| Vending-Bench 2 | Not measured | $161 | Only MiniMax M2 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 51.4% | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| GPQA Diamond | 63.4% | Not measured | Only GPT-5 Nano measured |
| MMMU Pro (Vals AI) | 70.9% | Not measured | Only GPT-5 Nano measured |
| GPQA Diamond (Artificial Analysis run) | 67.6% | 77.7% | MiniMax M2 |
| Humanity's Last Exam (Artificial Analysis run) | 9.5% | 13.7% | MiniMax M2 |
| GPQA Diamond (Epoch AI run) | 69.4% | Not measured | Only GPT-5 Nano measured |
| ARC-AGI | 20.7% | Not measured | Only GPT-5 Nano measured |
| ARC-AGI-2 | 2.6% | Not measured | Only GPT-5 Nano measured |
| Chess puzzles | 22.0% | Not measured | Only GPT-5 Nano measured |
| Mystery game puzzles | 9.0% | Not measured | Only GPT-5 Nano measured |
| VPCT | 37.2% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: hard prompts | 1328 | 1357 | MiniMax M2 |
| LMArena Text: expert | 1321 | 1338 | MiniMax M2 |
| LMArena Text: hard prompts in English | 1338 | 1376 | MiniMax M2 |
| LMArena Vision: diagrams | 1141 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: homework | 1157 | Not measured | Only GPT-5 Nano measured |
| Kagi LLM Benchmark | 62.2% | 57.8% | GPT-5 Nano |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| AIME | 81.2% | Not measured | Only GPT-5 Nano measured |
| MATH 500 (Vals AI) | 93.8% | Not measured | Only GPT-5 Nano measured |
| MGSM (Vals AI) | 89.3% | Not measured | Only GPT-5 Nano measured |
| AA Math Index | 83.7 | 78.3 | GPT-5 Nano |
| AIME 2025 (Artificial Analysis run) | 83.7% | 78.3% | GPT-5 Nano |
| OTIS Mock AIME | 81.1% | Not measured | Only GPT-5 Nano measured |
| FrontierMath, tiers 1 to 3 | 20.0% | Not measured | Only GPT-5 Nano measured |
| FrontierMath, tier 4 | 2.4% | Not measured | Only GPT-5 Nano measured |
| ProofBench | 12.0% | Not measured | Only GPT-5 Nano measured |
| MATH level 5 | 95.2% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: math | 1317 | 1351 | MiniMax M2 |
| LMArena Text: mathematical work | 1326 | 1368 | MiniMax M2 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| MMLU Pro | 76.1% | Not measured | Only GPT-5 Nano measured |
| LegalBench (Vals AI) | 50.1% | Not measured | Only GPT-5 Nano measured |
| CaseLaw (Vals AI) | 52.6% | Not measured | Only GPT-5 Nano measured |
| TaxEval (Vals AI) | 67.4% | Not measured | Only GPT-5 Nano measured |
| MortgageTax (Vals AI) | 53.6% | Not measured | Only GPT-5 Nano measured |
| MedQA (Vals AI) | 93.3% | Not measured | Only GPT-5 Nano measured |
| MedCode (Vals AI) | 30.4% | Not measured | Only GPT-5 Nano measured |
| MMLU Pro (Artificial Analysis run) | 78.0% | 82.0% | MiniMax M2 |
| SimpleQA Verified | 11.7% | Not measured | Only GPT-5 Nano measured |
| LMArena Text: science | 1318 | 1348 | MiniMax M2 |
| LMArena Text: medicine and healthcare | 1335 | 1367 | MiniMax M2 |
| LMArena Text: legal and government | 1298 | 1349 | MiniMax M2 |
| LMArena Text: business and finance | 1311 | 1336 | MiniMax M2 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1101 | 1143 | MiniMax M2 |
| Design Arena: UI components | 1064 | 1137 | MiniMax M2 |
| Design Arena: game dev | 1044 | 1118 | MiniMax M2 |
| Design Arena: data viz | 1056 | 1140 | MiniMax M2 |
| Design Arena: 3D | 965 | 1098 | MiniMax M2 |
| Design Arena: all code categories | 1084 | 1135 | MiniMax M2 |
| Design Arena: SVG | Not measured | 1100 | Only MiniMax M2 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index214
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 30.4% | Not measured | Only GPT-5 Nano measured |
| MedScribe (Vals AI) | 72.9% | Not measured | Only GPT-5 Nano measured |
| IFBench | 67.6% | 72.3% | MiniMax M2 |
| Long context reasoning (AA-LCR) | 45.0% | 64.3% | MiniMax M2 |
| DTBench | 62.7% | Not measured | Only GPT-5 Nano measured |
| LMCA | 7.9% | Not measured | Only GPT-5 Nano measured |
| Fiction.LiveBench | 44.4% | Not measured | Only GPT-5 Nano measured |
| LMArena Text | 1320 | 1340 | MiniMax M2 |
| LMArena Text: instruction following | 1306 | 1329 | MiniMax M2 |
| LMArena Text: creative writing | 1249 | 1286 | MiniMax M2 |
| LMArena Vision | 1159 | Not measured | Only GPT-5 Nano measured |
| LMArena Text: English | 1321 | 1364 | MiniMax M2 |
| LMArena Text: non-English | 1313 | 1313 | MiniMax M2 |
| LMArena Text: Chinese | 1356 | 1366 | MiniMax M2 |
| LMArena Text: German | 1327 | 1357 | MiniMax M2 |
| LMArena Text: Japanese | 1227 | Not measured | Only GPT-5 Nano measured |
| LMArena Text: Korean | 1269 | Not measured | Only GPT-5 Nano measured |
| LMArena Text: French | Not measured | 1336 | Only MiniMax M2 measured |
| LMArena Text: Spanish | 1360 | 1326 | GPT-5 Nano |
| LMArena Text: Russian | 1296 | 1330 | MiniMax M2 |
| LMArena Text: Polish | 1314 | 1312 | GPT-5 Nano |
| LMArena Text: multi-turn | 1311 | 1361 | MiniMax M2 |
| LMArena Text: longer queries | 1312 | 1331 | MiniMax M2 |
| LMArena Text: writing and language | 1283 | 1295 | MiniMax M2 |
| LMArena Text: entertainment and media | 1268 | 1298 | MiniMax M2 |
| LMArena Vision: English | 1170 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: Chinese | 1176 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: reading text | 1152 | Not measured | Only GPT-5 Nano measured |
| LMArena Vision: humor | 1110 | Not measured | Only GPT-5 Nano measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5 Nano | MiniMax M2 | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-5 Nano costs less
Repository review
50K input + 3K output tokens
GPT-5 Nano costs less
Agent loop
200K input + 10K output tokens
GPT-5 Nano costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5 Nano | MiniMax M2 |
|---|---|---|
| Maker | OpenAI | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | August 7, 2025 | October 23, 2025 |
| Context window | 400K | 205K |
| Input $/Mtok | $0.05 | $0.255 |
| Output $/Mtok | $0.40 | $1.02 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | $0.109 | $0.702 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5 Nano better than MiniMax M2 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5 Nano for output tokens 2.5x cheaper ($0.40 vs $1.02 per million) and a lower cost per solved task ($0.109 against $0.702).
Which is cheaper, GPT-5 Nano or MiniMax M2?
GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens; MiniMax M2 costs $0.255 and $1.02. Per solved SWE-bench Verified task, GPT-5 Nano costs $0.109 and MiniMax M2 $0.702.
Which has the bigger context window, GPT-5 Nano or MiniMax M2?
GPT-5 Nano, with 400K tokens against 205K.
How many benchmarks is the GPT-5 Nano vs MiniMax M2 comparison based on?
45 benchmarks have a result for both models as of October 22, 2026. GPT-5 Nano's coding index rests on 0 independent benchmarks and MiniMax M2's on 1. Where only one model has a result, the page says so instead of naming a winner.