Muse Spark Open vs MiniMax M2.7
Muse Spark Open leads MiniMax M2.7 on coding, 47.4 to 36.2 on the Vibe Coding Index, and MiniMax M2.7 costs 3.5x less per output token ($1.20 vs $4.25 per million). Updated October 22, 2026; 17 benchmarks have a result for both.
Muse Spark Open or MiniMax M2.7: which to pick
Pick Muse Spark Open for coding: it scores 47.4 on the Vibe Coding Index against 36.2 for MiniMax M2.7.
Pick MiniMax M2.7 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).
- Shared results
- 17
- Muse Spark Open only
- 11
- MiniMax M2.7 only
- 57
- 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
Muse Spark Open
Muse Spark Open scores 47.4 against 36.2.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiniMax M2.7 has a AA Intelligence Index result, 22.8.
Directional only
Agentic work
AA Agentic Index
No call
Only MiniMax M2.7 has a AA Agentic Index result, 15.3.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M2.7 has a GPQA Diamond result, 86.6%.
Directional only
Math
AIME
No call
Only MiniMax M2.7 has a AIME result, 91.0%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M2.7 has a MMLU Pro result, 80.4%.
Directional only
Web design
Design Arena: websites
Muse Spark Open
Muse Spark Open leads, 1310 against 1243.
Same board, both measured
General
Vals Index
No call
Only Muse Spark Open has a Vals Index result, 48.6%.
Directional only
Long documents
Listed context window
Muse Spark Open
Muse Spark Open takes 1.05M tokens against 205K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiniMax M2.7
Muse Spark Open $0.0034, MiniMax M2.7 $0.0009 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M2.7 has the number, $0.64.
Directional only
At a glance
- Coding index
- Muse Spark Open 47.4 from 4 benchmarks, MiniMax M2.7 36.2 from 3 benchmarks.
- Widest category
- Agentic work, 26.5 points apart on average over 4 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Muse Spark Open 76.2% against MiniMax M2.7 11.9%, 64.3 points apart on a 0 to 100 scale.
- Output price
- Muse Spark Open $4.25 against MiniMax M2.7 $1.20 per million output tokens, 3.5x apart.
- Context window
- Muse Spark Open takes 1.05M tokens, MiniMax M2.7 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 | Muse Spark Open | Bars | MiniMax M2.7 | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 0 | ||
| Reasoning | 2 | 0 | ||
| Web design | 2 | 0 | ||
| General | 0 | 0 | 1 tie | |
| All shared boards | 16 | 0 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| LiveBench coding | 73.6% | Not measured | Only Muse Spark Open measured |
| LMArena WebDev | 1528 | 1399 | Muse Spark Open |
| AA Coding Index | Not measured | 52.6 | Only MiniMax M2.7 measured |
| LiveCodeBench (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| SWE-bench Verified (Vals AI) | Not measured | 73.8% | Only MiniMax M2.7 measured |
| Terminal-Bench 4 (Vals AI) | 6.6% | Not measured | Only Muse Spark Open measured |
| Vibe Code Bench (Vals AI) | 76.2% | 11.9% | Muse Spark Open |
| Code migration (Vals AI) | 21.2% | 8.7% | Muse Spark Open |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only MiniMax M2.7 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 48.7% | Only MiniMax M2.7 measured |
| SciCode | 58.4% | 50.1% | Muse Spark Open |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 39.4% | Only MiniMax M2.7 measured |
| Terminal-Bench | Not measured | 45.1% | Only MiniMax M2.7 measured |
| WeirdML | Not measured | 37.0% | Only MiniMax M2.7 measured |
| ALE-Bench | 1590.1 | 599.3 | Muse Spark Open |
| LMArena Text: coding | Not measured | 1454 | Only MiniMax M2.7 measured |
| LMArena Text: software and IT | Not measured | 1446 | Only MiniMax M2.7 measured |
| LMArena WebDev: React | 1529 | 1388 | Muse Spark Open |
| LMArena WebDev: HTML | 1495 | 1401 | Muse Spark Open |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 22.8 | Only MiniMax M2.7 measured |
| Epoch Capabilities Index | 155.1 | 145.8 | Muse Spark Open |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 15.3 | Only MiniMax M2.7 measured |
| LiveBench research | 80.3% | Not measured | Only Muse Spark Open measured |
| LiveBench browser | 36.0% | Not measured | Only Muse Spark Open measured |
| LiveBench long agentic | 18.9% | Not measured | Only Muse Spark Open measured |
| Finance Agent (Vals AI) | 61.3% | 27.9% | Muse Spark Open |
| Tax Agent Bench (Vals AI) | 26.3% | 6.9% | Muse Spark Open |
| Legal Research Bench (Vals AI) | 38.5% | 10.6% | Muse Spark Open |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | Not measured | Only Muse Spark Open measured |
| Excel Modeling Benchmark (Vals AI) | 53.7% | 28.4% | Muse Spark Open |
| τ²-Bench Telecom | Not measured | 84.8% | Only MiniMax M2.7 measured |
| APEX-Agents | 33.4% | Not measured | Only Muse Spark Open measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.6% | Only MiniMax M2.7 measured |
| LiveBench reasoning | 73.7% | Not measured | Only Muse Spark Open measured |
| GPQA Diamond (Artificial Analysis run) | 89.0% | 87.4% | Muse Spark Open |
| Humanity's Last Exam (Artificial Analysis run) | 43.9% | 29.6% | Muse Spark Open |
| LMArena Text: hard prompts | Not measured | 1422 | Only MiniMax M2.7 measured |
| LMArena Text: expert | Not measured | 1443 | Only MiniMax M2.7 measured |
| LMArena Text: hard prompts in English | Not measured | 1441 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| AIME | Not measured | 91.0% | Only MiniMax M2.7 measured |
| ProofBench | Not measured | 3.0% | Only MiniMax M2.7 measured |
| LMArena Text: math | Not measured | 1421 | Only MiniMax M2.7 measured |
| LMArena Text: mathematical work | Not measured | 1437 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 80.4% | Only MiniMax M2.7 measured |
| LegalBench (Vals AI) | Not measured | 84.0% | Only MiniMax M2.7 measured |
| CaseLaw (Vals AI) | Not measured | 60.9% | Only MiniMax M2.7 measured |
| CorpFin (Vals AI) | Not measured | 61.2% | Only MiniMax M2.7 measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only MiniMax M2.7 measured |
| MedCode (Vals AI) | Not measured | 34.4% | Only MiniMax M2.7 measured |
| LMArena Text: science | Not measured | 1416 | Only MiniMax M2.7 measured |
| LMArena Text: medicine and healthcare | Not measured | 1409 | Only MiniMax M2.7 measured |
| LMArena Text: legal and government | Not measured | 1403 | Only MiniMax M2.7 measured |
| LMArena Text: business and finance | Not measured | 1407 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| Design Arena: websites | 1310 | 1243 | Muse Spark Open |
| Design Arena: UI components | Not measured | 1210 | Only MiniMax M2.7 measured |
| Design Arena: game dev | 1282 | 1209 | Muse Spark Open |
| Design Arena: data viz | Not measured | 1233 | Only MiniMax M2.7 measured |
| Design Arena: 3D | Not measured | 1195 | Only MiniMax M2.7 measured |
| Design Arena: all code categories | Not measured | 1233 | Only MiniMax M2.7 measured |
| Design Arena: SVG | Not measured | 1137 | Only MiniMax M2.7 measured |
| Design Arena: ASCII art | Not measured | 1136 | Only MiniMax M2.7 measured |
| LiveBench design | 60.3% | Not measured | Only Muse Spark Open measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index00
| Benchmark | Muse Spark Open | MiniMax M2.7 | Leader |
|---|---|---|---|
| Vals Index | 48.6% | Not measured | Only Muse Spark Open measured |
| LiveBench data analysis | 60.2% | Not measured | Only Muse Spark Open measured |
| MedScribe (Vals AI) | Not measured | 79.9% | Only MiniMax M2.7 measured |
| IFBench | Not measured | 75.7% | Only MiniMax M2.7 measured |
| Long context reasoning (AA-LCR) | 78.3% | 78.3% | Tie |
| ExploitBench | Not measured | 13.3% | Only MiniMax M2.7 measured |
| LMArena Text | Not measured | 1405 | Only MiniMax M2.7 measured |
| LMArena Text: instruction following | Not measured | 1405 | Only MiniMax M2.7 measured |
| LMArena Text: creative writing | Not measured | 1354 | Only MiniMax M2.7 measured |
| LMArena Text: English | Not measured | 1426 | Only MiniMax M2.7 measured |
| LMArena Text: non-English | Not measured | 1382 | Only MiniMax M2.7 measured |
| LMArena Text: Chinese | Not measured | 1442 | Only MiniMax M2.7 measured |
| LMArena Text: German | Not measured | 1398 | Only MiniMax M2.7 measured |
| LMArena Text: Japanese | Not measured | 1260 | Only MiniMax M2.7 measured |
| LMArena Text: Korean | Not measured | 1314 | Only MiniMax M2.7 measured |
| LMArena Text: French | Not measured | 1424 | Only MiniMax M2.7 measured |
| LMArena Text: Spanish | Not measured | 1402 | Only MiniMax M2.7 measured |
| LMArena Text: Russian | Not measured | 1383 | Only MiniMax M2.7 measured |
| LMArena Text: Polish | Not measured | 1387 | Only MiniMax M2.7 measured |
| LMArena Text: multi-turn | Not measured | 1412 | Only MiniMax M2.7 measured |
| LMArena Text: longer queries | Not measured | 1418 | Only MiniMax M2.7 measured |
| LMArena Text: writing and language | Not measured | 1376 | Only MiniMax M2.7 measured |
| LMArena Text: entertainment and media | Not measured | 1360 | Only MiniMax M2.7 measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Spark Open | MiniMax M2.7 | 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 M2.7 costs less
Repository review
50K input + 3K output tokens
MiniMax M2.7 costs less
Agent loop
200K input + 10K output tokens
MiniMax M2.7 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 | Meta Muse Spark Open | MiniMax M2.7 |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | Open weights | Open weights |
| Released | October 15, 2026 | March 18, 2026 |
| Context window | 1.05M | 205K |
| Input $/Mtok | $1.25 | $0.30 |
| Output $/Mtok | $4.25 | $1.20 |
| Coding index | 47.4 | 36.2 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | Not computable | $0.64 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Spark Open better than MiniMax M2.7 for coding?
Pick Muse Spark Open for coding: it scores 47.4 on the Vibe Coding Index against 36.2 for MiniMax M2.7. Pick MiniMax M2.7 for output tokens 3.5x cheaper ($1.20 vs $4.25 per million).
Which is cheaper, Muse Spark Open or MiniMax M2.7?
Muse Spark Open costs $1.25 per million input tokens and $4.25 per million output tokens; MiniMax M2.7 costs $0.30 and $1.20. Cost per solved task is known for MiniMax M2.7 only.
Which has the bigger context window, Muse Spark Open or MiniMax M2.7?
Muse Spark Open, with 1.05M tokens against 205K.
How many benchmarks is the Muse Spark Open vs MiniMax M2.7 comparison based on?
17 benchmarks have a result for both models as of October 22, 2026. Muse Spark Open's coding index rests on 4 independent benchmarks and MiniMax M2.7's on 3. Where only one model has a result, the page says so instead of naming a winner.