R1 0528 vs MiniMax M1
R1 0528 leads MiniMax M1 on the Artificial Analysis Intelligence Index, 13.1 to 11.7, at about the same output price ($2.18 vs $2.20 per million). Updated October 22, 2026; 29 benchmarks have a result for both.
R1 0528 or MiniMax M1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick R1 0528 for output tokens 1.0x cheaper ($2.18 vs $2.20 per million).
- Shared results
- 29
- R1 0528 only
- 34
- MiniMax M1 only
- 0
- Like-for-like categories
- 6 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
R1 0528
R1 0528 leads, 13.1 against 11.7.
Same board, both measured
Web design
Design Arena: websites
No call
Only R1 0528 has a Design Arena: websites result, 1149.
Directional only
Long documents
Listed context window
MiniMax M1
MiniMax M1 takes 1M tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M1
R1 0528 $0.0016, MiniMax M1 $0.0015 per turn.
List prices
At a glance
- Coding index
- R1 0528 not benchmarked, MiniMax M1 not benchmarked.
- Widest category
- General, 14.3 points apart on average over 17 shared benchmarks.
- Widest single gap
- LMArena Text: Japanese: R1 0528 1391 against MiniMax M1 1217, 29.0 points apart on a 0 to 100 scale.
- Output price
- R1 0528 $2.18 against MiniMax M1 $2.20 per million output tokens, 1.0x apart.
- Context window
- R1 0528 takes 164K tokens, MiniMax M1 1M.
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 | R1 0528 | Bars | MiniMax M1 | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 17 | 0 | ||
| All shared boards | 29 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| Aider polyglot | 71.4% | Not measured | Only R1 0528 measured |
| LiveCodeBench (Artificial Analysis run) | 77.0% | Not measured | Only R1 0528 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.9% | Not measured | Only R1 0528 measured |
| WeirdML | 41.6% | Not measured | Only R1 0528 measured |
| ALE-Bench | 804.1 | Not measured | Only R1 0528 measured |
| LMArena Text: coding | 1427 | 1359 | R1 0528 |
| LMArena Text: software and IT | 1435 | 1359 | R1 0528 |
| Neither model has a result on the other 36 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 11.7 | R1 0528 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 36.5% | Not measured | Only R1 0528 measured |
| METR time horizons | 53.8% | Not measured | Only R1 0528 measured |
| DeepResearch Bench | 35.1% | Not measured | Only R1 0528 measured |
| BrowseComp-Plus | 16.4% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 81.3% | Not measured | Only R1 0528 measured |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | Not measured | Only R1 0528 measured |
| GPQA Diamond (Epoch AI run) | 76.3% | Not measured | Only R1 0528 measured |
| ARC-AGI | 21.2% | Not measured | Only R1 0528 measured |
| ARC-AGI-2 | 1.1% | Not measured | Only R1 0528 measured |
| SimpleBench | 40.8% | Not measured | Only R1 0528 measured |
| LMArena Text: hard prompts | 1415 | 1339 | R1 0528 |
| LMArena Text: expert | 1394 | 1317 | R1 0528 |
| LMArena Text: hard prompts in English | 1422 | 1353 | R1 0528 |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| AA Math Index | 76.0 | Not measured | Only R1 0528 measured |
| AIME 2025 (Artificial Analysis run) | 76.0% | Not measured | Only R1 0528 measured |
| OTIS Mock AIME | 66.4% | Not measured | Only R1 0528 measured |
| MATH level 5 | 96.6% | Not measured | Only R1 0528 measured |
| LMArena Text: math | 1400 | 1361 | R1 0528 |
| LMArena Text: mathematical work | 1415 | 1363 | R1 0528 |
| MathArena | 12.9% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 84.9% | Not measured | Only R1 0528 measured |
| LMArena Text: science | 1430 | 1354 | R1 0528 |
| LMArena Text: medicine and healthcare | 1445 | 1355 | R1 0528 |
| LMArena Text: legal and government | 1419 | 1337 | R1 0528 |
| LMArena Text: business and finance | 1402 | 1319 | R1 0528 |
| PRBench Finance | 32.7% | Not measured | Only R1 0528 measured |
| PRBench Legal | 36.6% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 13 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| Design Arena: websites | 1149 | Not measured | Only R1 0528 measured |
| Design Arena: UI components | 1100 | Not measured | Only R1 0528 measured |
| Design Arena: game dev | 1097 | Not measured | Only R1 0528 measured |
| Design Arena: data viz | 1182 | Not measured | Only R1 0528 measured |
| Design Arena: 3D | 1110 | Not measured | Only R1 0528 measured |
| Design Arena: all code categories | 1138 | Not measured | Only R1 0528 measured |
| Design Arena: SVG | 1038 | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
| Benchmark | R1 0528 | MiniMax M1 | Leader |
|---|---|---|---|
| IFBench | 39.6% | Not measured | Only R1 0528 measured |
| Long context reasoning (AA-LCR) | 55.7% | Not measured | Only R1 0528 measured |
| Fiction.LiveBench | 75.0% | Not measured | Only R1 0528 measured |
| Creative writing (Lech Mazur) | 81.9% | Not measured | Only R1 0528 measured |
| LMArena Text | 1428 | 1343 | R1 0528 |
| LMArena Text: instruction following | 1382 | 1312 | R1 0528 |
| LMArena Text: creative writing | 1405 | 1297 | R1 0528 |
| LMArena Text: English | 1437 | 1363 | R1 0528 |
| LMArena Text: non-English | 1412 | 1319 | R1 0528 |
| LMArena Text: Chinese | 1442 | 1360 | R1 0528 |
| LMArena Text: German | 1404 | 1350 | R1 0528 |
| LMArena Text: Japanese | 1391 | 1217 | R1 0528 |
| LMArena Text: Korean | 1360 | 1266 | R1 0528 |
| LMArena Text: French | 1417 | 1370 | R1 0528 |
| LMArena Text: Spanish | 1411 | 1353 | R1 0528 |
| LMArena Text: Russian | 1423 | 1329 | R1 0528 |
| LMArena Text: Polish | 1428 | 1329 | R1 0528 |
| LMArena Text: multi-turn | 1405 | 1335 | R1 0528 |
| LMArena Text: longer queries | 1391 | 1326 | R1 0528 |
| LMArena Text: writing and language | 1402 | 1311 | R1 0528 |
| LMArena Text: entertainment and media | 1400 | 1303 | R1 0528 |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | R1 0528 | MiniMax M1 | 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
MiniMax M1 costs less
Repository review
50K input + 3K output tokens
MiniMax M1 costs less
Agent loop
200K input + 10K output tokens
MiniMax M1 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 | DeepSeek R1 0528 | MiniMax M1 |
|---|---|---|
| Maker | DeepSeek | MiniMax |
| Weights | Open weights | No public weights listed |
| Released | May 28, 2025 | June 17, 2025 |
| Context window | 164K | 1M |
| Input $/Mtok | $0.50 | $0.40 |
| Output $/Mtok | $2.18 | $2.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is R1 0528 better than MiniMax M1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for output tokens 1.0x cheaper ($2.18 vs $2.20 per million).
Which is cheaper, R1 0528 or MiniMax M1?
R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; MiniMax M1 costs $0.40 and $2.20. Cost per solved task is known for neither of them.
Which has the bigger context window, R1 0528 or MiniMax M1?
MiniMax M1, with 1M tokens against 164K.
How many benchmarks is the R1 0528 vs MiniMax M1 comparison based on?
29 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and MiniMax M1's on 0. Where only one model has a result, the page says so instead of naming a winner.