Mercury 2.5 vs MiMo-V2.6-Pro
MiMo-V2.6-Pro leads Mercury 2.5 on coding, 65.4 to 1.6 on the Vibe Coding Index, and Mercury 2.5 costs 5.8x less per output token ($0.15 vs $0.87 per million). Updated October 22, 2026; 20 benchmarks have a result for both.
Mercury 2.5 or MiMo-V2.6-Pro: which to pick
Pick MiMo-V2.6-Pro for coding: it scores 65.4 on the Vibe Coding Index against 1.6 for Mercury 2.5.
Pick Mercury 2.5 for output tokens 5.8x cheaper ($0.15 vs $0.87 per million).
- Shared results
- 20
- Mercury 2.5 only
- 2
- MiMo-V2.6-Pro only
- 53
- Like-for-like categories
- 7 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-Pro
MiMo-V2.6-Pro scores 65.4 against 1.6.
2 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiMo-V2.6-Pro
MiMo-V2.6-Pro leads, 46.3 against 12.3.
Same board, both measured
Web design
Design Arena: websites
No call
Only MiMo-V2.6-Pro has a Design Arena: websites result, 1308.
Directional only
General
Vals Index
No call
Only MiMo-V2.6-Pro has a Vals Index result, 57.8%.
Directional only
Long documents
Listed context window
MiMo-V2.6-Pro
MiMo-V2.6-Pro takes 1.05M tokens against 260K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mercury 2.5
Mercury 2.5 $0.0001, MiMo-V2.6-Pro $0.0009 per turn.
List prices
At a glance
- Coding index
- Mercury 2.5 1.6 from 2 benchmarks, MiMo-V2.6-Pro 65.4 from 4 benchmarks.
- Widest category
- Math, 67.0 points apart on average over 1 shared benchmark.
- Widest single gap
- Vibe Code Bench (Vals AI): Mercury 2.5 3.7% against MiMo-V2.6-Pro 85.2%, 81.5 points apart on a 0 to 100 scale.
- Output price
- Mercury 2.5 $0.15 against MiMo-V2.6-Pro $0.87 per million output tokens, 5.8x apart.
- Context window
- Mercury 2.5 takes 260K tokens, MiMo-V2.6-Pro 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 | Mercury 2.5 | Bars | MiMo-V2.6-Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 5 | ||
| Reasoning | 0 | 1 | ||
| Math | 0 | 1 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 3 | ||
| All shared boards | 0 | 20 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 81.5% | Only MiMo-V2.6-Pro measured |
| LMArena WebDev | Not measured | 1625 | Only MiMo-V2.6-Pro measured |
| Terminal-Bench 4 (Vals AI) | 0.0% | 31.3% | MiMo-V2.6-Pro |
| Vibe Code Bench (Vals AI) | 3.7% | 85.2% | MiMo-V2.6-Pro |
| Code migration (Vals AI) | 4.5% | 43.0% | MiMo-V2.6-Pro |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Pro measured |
| IOI (Vals AI) | 2.4% | 39.3% | MiMo-V2.6-Pro |
| Terminal-Bench 2.1 (Vals AI) | 34.5% | 67.8% | MiMo-V2.6-Pro |
| SWE-bench Multimodal (Vals AI) | Not measured | 41.3% | Only MiMo-V2.6-Pro measured |
| SkillsBench (Vals AI) | 18.1% | Not measured | Only Mercury 2.5 measured |
| CyberBench (Vals AI) | 45.5% | 72.9% | MiMo-V2.6-Pro |
| SciCode | 38.5% | 60.9% | MiMo-V2.6-Pro |
| ALE-Bench | 301.6 | 1158.1 | MiMo-V2.6-Pro |
| LMArena Text: coding | Not measured | 1533 | Only MiMo-V2.6-Pro measured |
| LMArena Text: software and IT | Not measured | 1528 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: React | Not measured | 1639 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: HTML | Not measured | 1616 | Only MiMo-V2.6-Pro measured |
| LMArena WebDev: from an image | Not measured | 1598 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.3 | 46.3 | MiMo-V2.6-Pro |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | Not measured | 1290 | Only MiMo-V2.6-Pro measured |
| LiveBench research | Not measured | 76.7% | Only MiMo-V2.6-Pro measured |
| LiveBench browser | Not measured | 88.0% | Only MiMo-V2.6-Pro measured |
| LiveBench long agentic | Not measured | 47.5% | Only MiMo-V2.6-Pro measured |
| SREBench (Vals AI) | Not measured | 3.0% | Only MiMo-V2.6-Pro measured |
| Finance Agent (Vals AI) | 18.9% | 57.3% | MiMo-V2.6-Pro |
| Tax Agent Bench (Vals AI) | 2.5% | 32.4% | MiMo-V2.6-Pro |
| Legal Research Bench (Vals AI) | 4.3% | 47.1% | MiMo-V2.6-Pro |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.8% | Only MiMo-V2.6-Pro measured |
| Excel Modeling Benchmark (Vals AI) | 8.8% | 62.9% | MiMo-V2.6-Pro |
| Terminal-Bench-Science (Vals AI) | 0.0% | 2.9% | MiMo-V2.6-Pro |
| APEX-Agents | Not measured | 54.4% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 79.6% | Only MiMo-V2.6-Pro measured |
| MysteryMechanism (Vals AI) | Not measured | 15.3% | Only MiMo-V2.6-Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | 11.8% | 49.4% | MiMo-V2.6-Pro |
| LMArena Text: hard prompts | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| LMArena Text: expert | Not measured | 1541 | Only MiMo-V2.6-Pro measured |
| LMArena Text: hard prompts in English | Not measured | 1520 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: diagrams | Not measured | 1281 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: homework | Not measured | 1264 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| ProofBench | 3.0% | 70.0% | MiMo-V2.6-Pro |
| LMArena Text: math | Not measured | 1500 | Only MiMo-V2.6-Pro measured |
| LMArena Text: mathematical work | Not measured | 1511 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 83.1% | Not measured | Only Mercury 2.5 measured |
| MedCode (Vals AI) | 31.3% | 45.0% | MiMo-V2.6-Pro |
| LMArena Text: science | Not measured | 1506 | Only MiMo-V2.6-Pro measured |
| LMArena Text: medicine and healthcare | Not measured | 1497 | Only MiMo-V2.6-Pro measured |
| LMArena Text: legal and government | Not measured | 1485 | Only MiMo-V2.6-Pro measured |
| LMArena Text: business and finance | Not measured | 1468 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1308 | Only MiMo-V2.6-Pro measured |
| Design Arena: UI components | Not measured | 1340 | Only MiMo-V2.6-Pro measured |
| Design Arena: game dev | Not measured | 1314 | Only MiMo-V2.6-Pro measured |
| Design Arena: data viz | Not measured | 1336 | Only MiMo-V2.6-Pro measured |
| Design Arena: 3D | Not measured | 1330 | Only MiMo-V2.6-Pro measured |
| Design Arena: all code categories | Not measured | 1317 | Only MiMo-V2.6-Pro measured |
| LiveBench design | Not measured | 78.5% | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | Leader |
|---|---|---|---|
| Vals Index | Not measured | 57.8% | Only MiMo-V2.6-Pro measured |
| LiveBench data analysis | Not measured | 72.3% | Only MiMo-V2.6-Pro measured |
| Public Benefits Bench (Vals AI) | 45.3% | 68.9% | MiMo-V2.6-Pro |
| SAGE (Vals AI) | Not measured | 45.0% | Only MiMo-V2.6-Pro measured |
| MedScribe (Vals AI) | 55.1% | 88.3% | MiMo-V2.6-Pro |
| Long context reasoning (AA-LCR) | 71.7% | 86.3% | MiMo-V2.6-Pro |
| LMArena Text | Not measured | 1491 | Only MiMo-V2.6-Pro measured |
| LMArena Text: instruction following | Not measured | 1491 | Only MiMo-V2.6-Pro measured |
| LMArena Text: creative writing | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| LMArena Vision | Not measured | 1263 | Only MiMo-V2.6-Pro measured |
| LMArena Text: English | Not measured | 1504 | Only MiMo-V2.6-Pro measured |
| LMArena Text: non-English | Not measured | 1474 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Chinese | Not measured | 1529 | Only MiMo-V2.6-Pro measured |
| LMArena Text: Russian | Not measured | 1479 | Only MiMo-V2.6-Pro measured |
| LMArena Text: multi-turn | Not measured | 1466 | Only MiMo-V2.6-Pro measured |
| LMArena Text: longer queries | Not measured | 1501 | Only MiMo-V2.6-Pro measured |
| LMArena Text: writing and language | Not measured | 1470 | Only MiMo-V2.6-Pro measured |
| LMArena Text: entertainment and media | Not measured | 1465 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: English | Not measured | 1268 | Only MiMo-V2.6-Pro measured |
| LMArena Vision: reading text | Not measured | 1270 | Only MiMo-V2.6-Pro measured |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mercury 2.5 | MiMo-V2.6-Pro | 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
Mercury 2.5 costs less
Repository review
50K input + 3K output tokens
Mercury 2.5 costs less
Agent loop
200K input + 10K output tokens
Mercury 2.5 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 | Inception Mercury 2.5 | Xiaomi MiMo-V2.6-Pro |
|---|---|---|
| Maker | Inception | Xiaomi |
| Weights | No public weights listed | Open weights |
| Released | September 8, 2026 | September 21, 2026 |
| Context window | 260K | 1.05M |
| Input $/Mtok | $0.04 | $0.435 |
| Output $/Mtok | $0.15 | $0.87 |
| Coding index | 1.6 | 65.4 |
| Independent measurements behind it | 2 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mercury 2.5 better than MiMo-V2.6-Pro for coding?
Pick MiMo-V2.6-Pro for coding: it scores 65.4 on the Vibe Coding Index against 1.6 for Mercury 2.5. Pick Mercury 2.5 for output tokens 5.8x cheaper ($0.15 vs $0.87 per million).
Which is cheaper, Mercury 2.5 or MiMo-V2.6-Pro?
Mercury 2.5 costs $0.04 per million input tokens and $0.15 per million output tokens; MiMo-V2.6-Pro costs $0.435 and $0.87. Cost per solved task is known for neither of them.
Which has the bigger context window, Mercury 2.5 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro, with 1.05M tokens against 260K.
How many benchmarks is the Mercury 2.5 vs MiMo-V2.6-Pro comparison based on?
20 benchmarks have a result for both models as of October 22, 2026. Mercury 2.5's coding index rests on 2 independent benchmarks and MiMo-V2.6-Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.