Qwen3 235B A22B Instruct 2507 vs MiMo-V2.6-Flash
MiMo-V2.6-Flash leads Qwen3 235B A22B Instruct 2507 on the Artificial Analysis Intelligence Index, 37.9 to 12.0, and MiMo-V2.6-Flash costs 2.8x less per output token ($0.28 vs $0.775 per million). Updated October 23, 2026; 4 benchmarks have a result for both.
Qwen3 235B A22B Instruct 2507 or MiMo-V2.6-Flash: which to pick
Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Qwen3 235B A22B Instruct 2507 has none, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
- Shared results
- 4
- Qwen3 235B A22B Instruct 2507 only
- 20
- MiMo-V2.6-Flash only
- 62
- 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
No call
Only MiMo-V2.6-Flash has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
MiMo-V2.6-Flash
MiMo-V2.6-Flash leads, 37.9 against 12.0.
Same board, both measured
Web design
Design Arena: websites
No call
Only Qwen3 235B A22B Instruct 2507 has a Design Arena: websites result, 1058.
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
MiMo-V2.6-Flash
Qwen3 235B A22B Instruct 2507 $0.0005, MiMo-V2.6-Flash $0.0003 per turn.
List prices
At a glance
- Coding index
- Qwen3 235B A22B Instruct 2507 not benchmarked, MiMo-V2.6-Flash 54.7 from 3 benchmarks.
- Widest category
- Intelligence, 25.9 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Qwen3 235B A22B Instruct 2507 12.0 against MiMo-V2.6-Flash 37.9, 25.9 points apart on a 0 to 100 scale.
- Output price
- Qwen3 235B A22B Instruct 2507 $0.775 against MiMo-V2.6-Flash $0.28 per million output tokens, 2.8x apart.
- Context window
- Qwen3 235B A22B Instruct 2507 takes 262K 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 | Qwen3 235B A22B Instruct 2507 | Bars | MiMo-V2.6-Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 1 | ||
| General | 0 | 1 | ||
| All shared boards | 0 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1634 | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 24.2% | Only MiMo-V2.6-Flash measured |
| Vibe Code Bench (Vals AI) | Not measured | 79.0% | Only MiMo-V2.6-Flash measured |
| Code migration (Vals AI) | Not measured | 40.9% | Only MiMo-V2.6-Flash measured |
| ProgramBench (Vals AI) | Not measured | 0.5% | Only MiMo-V2.6-Flash measured |
| IOI (Vals AI) | Not measured | 47.7% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 76.4% | Only MiMo-V2.6-Flash measured |
| CyberBench (Vals AI) | Not measured | 75.4% | Only MiMo-V2.6-Flash measured |
| LiveCodeBench (Artificial Analysis run) | 78.8% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| SciCode | 41.4% | 51.3% | MiMo-V2.6-Flash |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| WeirdML | 38.7% | Not measured | Only Qwen3 235B A22B Instruct 2507 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 | 1649 | Only MiMo-V2.6-Flash measured |
| LMArena WebDev: HTML | Not measured | 1639 | 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 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.0 | 37.9 | MiMo-V2.6-Flash |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| SREBench (Vals AI) | Not measured | 4.2% | Only MiMo-V2.6-Flash measured |
| Finance Agent (Vals AI) | Not measured | 56.3% | Only MiMo-V2.6-Flash measured |
| Tax Agent Bench (Vals AI) | Not measured | 28.5% | Only MiMo-V2.6-Flash measured |
| Legal Research Bench (Vals AI) | Not measured | 38.0% | Only MiMo-V2.6-Flash measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 13.3% | Only MiMo-V2.6-Flash measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 65.5% | Only MiMo-V2.6-Flash measured |
| BioMysteryBench (Vals AI) | Not measured | 69.3% | Only MiMo-V2.6-Flash measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 4.3% | Only MiMo-V2.6-Flash measured |
| Vals Science Index | Not measured | 31.7% | Only MiMo-V2.6-Flash measured |
| τ²-Bench Telecom | 53.2% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 52.1% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Neither model has a result on the other 31 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | Not measured | 21.6% | Only MiMo-V2.6-Flash measured |
| GPQA Diamond (Artificial Analysis run) | 79.0% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Humanity's Last Exam (Artificial Analysis run) | 15.9% | 35.1% | MiMo-V2.6-Flash |
| ARC-AGI | 11.0% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| ARC-AGI-2 | 1.3% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| LMArena Text: hard prompts | Not measured | 1474 | Only MiMo-V2.6-Flash measured |
| LMArena Text: expert | Not measured | 1494 | Only MiMo-V2.6-Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1492 | 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 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| AA Math Index | 91.0 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| AIME 2025 (Artificial Analysis run) | 91.0% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| ProofBench | Not measured | 63.0% | Only MiMo-V2.6-Flash measured |
| LMArena Text: math | Not measured | 1470 | 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 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 41.1% | Only MiMo-V2.6-Flash measured |
| MMLU Pro (Artificial Analysis run) | 84.3% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| LMArena Text: science | Not measured | 1461 | Only MiMo-V2.6-Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1443 | Only MiMo-V2.6-Flash measured |
| LMArena Text: legal and government | Not measured | 1442 | Only MiMo-V2.6-Flash measured |
| LMArena Text: business and finance | Not measured | 1451 | Only MiMo-V2.6-Flash measured |
| Neither model has a result on the other 14 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1058 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Design Arena: UI components | 963 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Design Arena: game dev | 951 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Design Arena: data viz | 1070 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Design Arena: 3D | 995 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Design Arena: all code categories | 1038 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Qwen3 235B A22B Instruct 2507 | MiMo-V2.6-Flash | Leader |
|---|---|---|---|
| Vals Index | Not measured | 54.8% | Only MiMo-V2.6-Flash measured |
| Public Benefits Bench (Vals AI) | Not measured | 67.6% | Only MiMo-V2.6-Flash measured |
| 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 |
| IFBench | 51.2% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Long context reasoning (AA-LCR) | 72.0% | 74.3% | MiMo-V2.6-Flash |
| DTBench | 78.4% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| LMCA | 23.5% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| LMArena Text | Not measured | 1452 | Only MiMo-V2.6-Flash measured |
| LMArena Text: instruction following | Not measured | 1449 | Only MiMo-V2.6-Flash measured |
| LMArena Text: creative writing | Not measured | 1404 | Only MiMo-V2.6-Flash measured |
| LMArena Vision | Not measured | 1256 | Only MiMo-V2.6-Flash measured |
| LMArena Text: English | Not measured | 1474 | Only MiMo-V2.6-Flash measured |
| LMArena Text: non-English | Not measured | 1431 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Chinese | Not measured | 1507 | Only MiMo-V2.6-Flash measured |
| LMArena Text: German | Not measured | 1455 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Japanese | Not measured | 1355 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Korean | Not measured | 1427 | Only MiMo-V2.6-Flash measured |
| LMArena Text: French | Not measured | 1478 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Spanish | Not measured | 1452 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Russian | Not measured | 1412 | Only MiMo-V2.6-Flash measured |
| LMArena Text: Polish | Not measured | 1446 | Only MiMo-V2.6-Flash measured |
| LMArena Text: multi-turn | Not measured | 1444 | 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 | 1425 | Only MiMo-V2.6-Flash measured |
| LMArena Text: entertainment and media | Not measured | 1412 | 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 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | 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 | Qwen3 235B A22B Instruct 2507 | Xiaomi MiMo-V2.6-Flash |
|---|---|---|
| Maker | Qwen | Xiaomi |
| Weights | Open weights | Open weights |
| Released | July 21, 2025 | September 21, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.145 | $0.14 |
| Output $/Mtok | $0.775 | $0.28 |
| Coding index | Not benchmarked | 54.7 |
| Independent measurements behind it | 0 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3 235B A22B Instruct 2507 better than MiMo-V2.6-Flash for coding?
Only MiMo-V2.6-Flash has a coding score, 54.7 on the Vibe Coding Index; Qwen3 235B A22B Instruct 2507 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Qwen3 235B A22B Instruct 2507 or MiMo-V2.6-Flash?
Qwen3 235B A22B Instruct 2507 costs $0.145 per million input tokens and $0.775 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, Qwen3 235B A22B Instruct 2507 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash, with 1.05M tokens against 262K.
How many benchmarks is the Qwen3 235B A22B Instruct 2507 vs MiMo-V2.6-Flash comparison based on?
4 benchmarks have a result for both models as of October 23, 2026. Qwen3 235B A22B Instruct 2507's coding index rests on 0 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.