Muse Ember vs MiniMax M3.1 Flash
Muse Ember leads MiniMax M3.1 Flash on coding, 64.9 to 55.7 on the Vibe Coding Index, and Muse Ember costs 1.2x less per output token ($0.50 vs $0.60 per million). Updated November 14, 2026; 14 benchmarks have a result for both.
Muse Ember or MiniMax M3.1 Flash: which to pick
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 55.7 for MiniMax M3.1 Flash, though on 3 benchmarks against 4.
Pick MiniMax M3.1 Flash for work measured by HLE-Diamond (Artificial Analysis run), where it leads.
- Shared results
- 14
- Muse Ember only
- 1
- MiniMax M3.1 Flash only
- 18
- Like-for-like categories
- 5 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 Ember
Muse Ember scores 64.9 against 55.7.
3 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiniMax M3.1 Flash has a AA Intelligence Index result, 29.1.
Directional only
General
Vals Index
Muse Ember
Muse Ember leads, 60.5% against 53.8%.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Ember
Muse Ember $0.0003, MiniMax M3.1 Flash $0.0004 per turn.
List prices
At a glance
- Coding index
- Muse Ember 64.9 from 3 benchmarks, MiniMax M3.1 Flash 55.7 from 4 benchmarks.
- Widest category
- Agentic work, 12.8 points apart on average over 3 shared benchmarks.
- Widest single gap
- Terminal-Bench 4 (Vals AI): Muse Ember 39.4% against MiniMax M3.1 Flash 25.3%, 18.9 points apart on a 0 to 100 scale.
- Output price
- Muse Ember $0.50 against MiniMax M3.1 Flash $0.60 per million output tokens, 1.2x apart.
- Context window
- Both take 1.05M tokens.
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 Ember | Bars | MiniMax M3.1 Flash | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 1 | 1 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 13 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 68.8% | Only MiniMax M3.1 Flash measured |
| LMArena WebDev | 1609 | 1584 | Muse Ember |
| Terminal-Bench 4 (Vals AI) | 39.4% | 25.3% | Muse Ember |
| Vibe Code Bench (Vals AI) | 83.7% | 73.9% | Muse Ember |
| SciCode | Not measured | 53.4% | Only MiniMax M3.1 Flash measured |
| Terminal-Bench 4.0 (Artificial Analysis run) | 40.9% | 25.8% | Muse Ember |
| FrontierCode 2.0 | 27.2% | 20.8% | Muse Ember |
| ALE-Bench | Not measured | 217.8 | Only MiniMax M3.1 Flash measured |
| LMArena WebDev: React | 1616 | 1603 | Muse Ember |
| LMArena WebDev: HTML | 1621 | 1558 | Muse Ember |
| SWE-Bench Pro V2 | Not measured | 96.6% | Only MiniMax M3.1 Flash measured |
| GameBench 2 | Not measured | 41.0 | Only MiniMax M3.1 Flash measured |
| Neither model has a result on the other 40 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 29.1 | Only MiniMax M3.1 Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| LiveBench research | Not measured | 76.7% | Only MiniMax M3.1 Flash measured |
| LiveBench browser | Not measured | 80.6% | Only MiniMax M3.1 Flash measured |
| LiveBench long agentic | Not measured | 25.7% | Only MiniMax M3.1 Flash measured |
| Tax Agent Bench (Vals AI) | 38.2% | 32.1% | Muse Ember |
| Legal Research Bench (Vals AI) | 49.0% | 34.1% | Muse Ember |
| Harvey's Legal Agent Benchmark (Vals AI) | 25.0% | 7.5% | Muse Ember |
| APEX-Agents | 64.3% | Not measured | Only Muse Ember measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 82.9% | Only MiniMax M3.1 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 48.0% | Only MiniMax M3.1 Flash measured |
| HLE-Diamond (Artificial Analysis run) | 25.1% | 28.1% | MiniMax M3.1 Flash |
| CritPt v2, hard subset (Artificial Analysis run) | 39.0% | 32.5% | Muse Ember |
| Neither model has a result on the other 22 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| AA-Omniscience | 7.7 | -6.4 | Muse Ember |
| PRBench Finance | Not measured | 45.6% | Only MiniMax M3.1 Flash measured |
| PRBench Legal | Not measured | 45.1% | Only MiniMax M3.1 Flash measured |
| Neither model has a result on the other 18 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| LiveBench design | Not measured | 71.2% | Only MiniMax M3.1 Flash measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Muse Ember | MiniMax M3.1 Flash | Leader |
|---|---|---|---|
| Vals Index | 60.5% | 53.8% | Muse Ember |
| LiveBench data analysis | Not measured | 71.4% | Only MiniMax M3.1 Flash measured |
| SAGE (Vals AI) | Not measured | 85.3% | Only MiniMax M3.1 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 79.7% | Only MiniMax M3.1 Flash measured |
| GDPval-AA | Not measured | 1465 | Only MiniMax M3.1 Flash measured |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Muse Ember | MiniMax M3.1 Flash | 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
Muse Ember costs less
Repository review
50K input + 3K output tokens
Muse Ember costs less
Agent loop
200K input + 10K output tokens
Muse Ember 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 Ember | MiniMax M3.1 Flash |
|---|---|---|
| Maker | Meta | MiniMax |
| Weights | No public weights listed | Open weights |
| Released | November 9, 2026 | October 19, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.10 | $0.15 |
| Output $/Mtok | $0.50 | $0.60 |
| Coding index | 64.9 | 55.7 |
| Independent measurements behind it | 3 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Muse Ember better than MiniMax M3.1 Flash for coding?
Pick Muse Ember for coding: it scores 64.9 on the Vibe Coding Index against 55.7 for MiniMax M3.1 Flash, though on 3 benchmarks against 4. Pick MiniMax M3.1 Flash for work measured by HLE-Diamond (Artificial Analysis run), where it leads.
Which is cheaper, Muse Ember or MiniMax M3.1 Flash?
Muse Ember costs $0.10 per million input tokens and $0.50 per million output tokens; MiniMax M3.1 Flash costs $0.15 and $0.60. Cost per solved task is known for neither of them.
Which has the bigger context window, Muse Ember or MiniMax M3.1 Flash?
Neither: both take 1.05M tokens.
How many benchmarks is the Muse Ember vs MiniMax M3.1 Flash comparison based on?
14 benchmarks have a result for both models as of November 14, 2026. Muse Ember's coding index rests on 3 independent benchmarks and MiniMax M3.1 Flash's on 4. Where only one model has a result, the page says so instead of naming a winner.