Ember-1 vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads Ember-1 on coding, 54.7 to 52.6 on the Vibe Coding Index, and MiMo-V2.6-Flash costs 53.6x less per output token ($0.28 vs $15.00 per million). Updated October 22, 2026; 14 benchmarks have a result for both.
Ember-1 or MiMo-V2.6-Flash: which to pick
Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 52.6 for Ember-1.
Pick Ember-1 for work measured by Vibe Code Bench (Vals AI) or Tax Agent Bench (Vals AI), where it leads.
- Shared results
- 14
- Ember-1 only
- 0
- MiMo-V2.6-Flash only
- 52
- Like-for-like categories
- 4 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
MiMo-V2.6-Flash
MiMo-V2.6-Flash scores 54.7 against 52.6.
2 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
No call
Only MiMo-V2.6-Flash has a AA Intelligence Index result, 37.9.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Flash has a Vals Index result, 54.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Flash
MiMo-V2.6-Flash takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Ember-1 $0.011, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Ember-1 52.6 from 2 benchmarks, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Coding, 5.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- Code migration (Vals AI): Ember-1 32.5% against MiMo-V2.6-Flash 40.9%, 8.4 points apart on a 0 to 100 scale.
- Output price
- Ember-1 $15.00 against MiMo-V2.6-Flash $0.28 per million output tokens, 53.6x apart.
- Context window
- Ember-1 takes 1.05M tokens, MiMo-V2.6-Flash 1.05M.
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 | Ember-1 | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 1 | 4 | ||
| Agentic work | 4 | 3 | ||
| Reasoning | 1 | 0 | ||
| General | 0 | 1 | ||
| All shared boards | 6 | 8 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1634 | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 4 (Vals AI) | 20.7% | 24.2% | MiMo-V2.6-Flash |
| Vibe Code Bench (Vals AI) | 83.9% | 79.0% | Ember-1 |
| Code migration (Vals AI) | 32.5% | 40.9% | MiMo-V2.6-Flash |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | 46.3% | 47.7% | MiMo-V2.6-Flash |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 76.4% | Only MiMo-V2.6-Flash measured |
| CyberBench (Vals AI) | 69.5% | 75.4% | MiMo-V2.6-Flash |
| SciCode | Not measured | 51.3% | Only MiMo-V2.6-Flash measured |
| ALE-Bench | Not measured | 1244.2 | Only MiMo-V2.6-Flash measured |
| LMArena Text: coding | Not measured | 1499 | Only MiMo-V2.6-Flash measured |
| LMArena Text: software and IT | Not measured | 1497 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: React | Not measured | 1648 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: HTML | Not measured | 1641 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: from an image | Not measured | 1596 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 37.9 | Only MiMo-V2.6-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 index43
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | 51.8% | 56.3% | MiMo-V2.6-Flash |
| Tax Agent Bench (Vals AI) | 31.1% | 28.5% | Ember-1 |
| Legal Research Bench (Vals AI) | 44.7% | 38.0% | Ember-1 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | 63.4% | 65.5% | MiMo-V2.6-Flash |
| BioMysteryBench (Vals AI) | 67.0% | 69.3% | MiMo-V2.6-Flash |
| Terminal-Bench-Science (Vals AI) | 5.7% | 4.3% | Ember-1 |
| Vals Science Index | 31.8% | 31.7% | Ember-1 |
| Neither model has a result on the other 32 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 22.5% | 21.6% | Ember-1 |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 35.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts | Not measured | 1475 | Only MiMo-V2.6-Flash measured |
| LMArena Text: expert | Not measured | 1496 | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1493 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: diagrams | Not measured | 1276 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: homework | Not measured | 1283 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 15 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | Not measured | 1476 | Only MiMo-V2.6-Flash measured |
| LMArena Text: mathematical work | Not measured | 1478 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| LMArena Text: science | Not measured | 1462 | Only MiMo-V2.6-Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1439 | Only MiMo-V2.6-Flash measured |
| LMArena Text: legal and government | Not measured | 1441 | Only MiMo-V2.6-Flash measured |
| LMArena Text: business and finance | Not measured | 1454 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 13 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Ember-1 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| Public Benefits Bench (Vals AI) | 66.2% | 67.6% | MiMo-V2.6-Flash |
| SAGE (Vals AI) | Not measured | 43.5% | Only MiMo-V2.6-Flash measured |
| MedScribe (Vals AI) | Not measured | 85.3% | Only MiMo-V2.6-Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 74.3% | Only MiMo-V2.6-Flash measured |
| LMArena Text | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: instruction following | Not measured | 1452 | Only MiMo-V2.6-Flash measured |
| LMArena Text: creative writing | Not measured | 1403 | Only MiMo-V2.6-Flash measured |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | Not measured | 1476 | Only MiMo-V2.6-Flash measured |
| LMArena Text: non-English | Not measured | 1431 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Chinese | Not measured | 1509 | Only MiMo-V2.6-Flash measured |
| LMArena Text: German | Not measured | 1458 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1359 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1425 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1480 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | Not measured | 1453 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | Not measured | 1409 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Polish | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | Not measured | 1447 | Only MiMo-V2.6-Flash measured |
| LMArena Text: longer queries | Not measured | 1459 | Only MiMo-V2.6-Flash measured |
| LMArena Text: writing and language | Not measured | 1424 | Only MiMo-V2.6-Flash measured |
| LMArena Text: entertainment and media | Not measured | 1415 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: English | Not measured | 1269 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Flash measured |
| LMArena Vision: creative writing | Not measured | 1231 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Ember-1 | MiMo-V2.6-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
MiMo-V2.6-Flash costs less
Repository review
50K input + 3K output tokens
MiMo-V2.6-Flash costs less
Agent loop
200K input + 10K output tokens
MiMo-V2.6-Flash 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 | Fireworks Ember-1 | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Fireworks | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | September 24, 2026 | September 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $3.00 | $0.14 |
| Output $/Mtok | $15.00 | $0.28 |
| Coding index | 52.6 | 54.7 |
| Independent measurements behind it | 2 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ember-1 better than MiMo-V2.6-Flash for coding?
Pick MiMo-V2.6-Flash for coding: it scores 54.7 on the Vibe Coding Index against 52.6 for Ember-1. Pick Ember-1 for work measured by Vibe Code Bench (Vals AI) or Tax Agent Bench (Vals AI), where it leads.
Which is cheaper, Ember-1 or MiMo-V2.6-Flash?
Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; MiMo-V2.6-Flash costs $0.14 and $0.28. Cost per solved task is known for neither of them.
Which has the bigger context window, Ember-1 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 1.05M.
How many benchmarks is the Ember-1 vs MiMo-V2.6-Flash comparison based on?
14 benchmarks have a result for both models as of October 22, 2026. Ember-1's coding index rests on 2 independent benchmarks and MiMo-V2.6-Flash's on 3. Where only one model has a result, the page says so instead of naming a winner.