Kimi K2 0905 vs Qwen3 Coder 480B A35B
Updated October 21, 2026. 15 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Kimi K2 0905 has the edge where what matters is WeirdML or ALE-Bench, where it leads.
- Shared results
- 15
- Kimi K2 0905 only
- 1
- Qwen3 Coder 480B A35B only
- 37
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Kimi K2 0905
Kimi K2 0905 leads, 15.3 against 11.9.
Same board, both measured
Web design
Design Arena: websites
Qwen3 Coder 480B A35B
Qwen3 Coder 480B A35B leads, 1159 against 1089.
Same board, both measured
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder 480B A35B
Kimi K2 0905 $0.0019, Qwen3 Coder 480B A35B $0.0010 per turn.
List prices
At a glance
- Coding index
- Kimi K2 0905 not benchmarked, Qwen3 Coder 480B A35B not benchmarked.
- Widest category
- Agentic work, 29.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Kimi K2 0905 73.4% against Qwen3 Coder 480B A35B 43.6%, 29.8 points apart on a 0 to 100 scale.
- Output price
- Kimi K2 0905 $2.50 against Qwen3 Coder 480B A35B $1.50 per million output tokens, 1.7x apart.
- Context window
- Both take 262K 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 | Kimi K2 0905 | Bars | Qwen3 Coder 480B A35B | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| Web design | 0 | 2 | ||
| General | 2 | 0 | ||
| All shared boards | 11 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 69.6% | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev | Not measured | 1275 | Only Qwen3 Coder 480B A35B measured |
| LiveCodeBench (Artificial Analysis run) | 61.0% | 58.5% | Kimi K2 0905 |
| Terminal-Bench Hard (Artificial Analysis run) | 23.5% | 18.9% | Kimi K2 0905 |
| Terminal-Bench | Not measured | 27.2% | Only Qwen3 Coder 480B A35B measured |
| GSO-Bench | Not measured | 4.9% | Only Qwen3 Coder 480B A35B measured |
| WeirdML | 36.7% | 41.2% | Qwen3 Coder 480B A35B |
| ALE-Bench | 267.1 | 461.4 | Qwen3 Coder 480B A35B |
| LMArena Text: coding | Not measured | 1412 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: software and IT | Not measured | 1393 | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev: React | Not measured | 1257 | Only Qwen3 Coder 480B A35B measured |
| LMArena WebDev: HTML | Not measured | 1287 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.3 | 11.9 | Kimi K2 0905 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 73.4% | 43.6% | Kimi K2 0905 |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 76.7% | 61.8% | Kimi K2 0905 |
| Humanity's Last Exam (Artificial Analysis run) | 6.4% | 4.5% | Kimi K2 0905 |
| LMArena Text: hard prompts | Not measured | 1372 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: expert | Not measured | 1338 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: hard prompts in English | Not measured | 1380 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| AA Math Index | 57.3 | 39.3 | Kimi K2 0905 |
| AIME 2025 (Artificial Analysis run) | 57.3% | 39.3% | Kimi K2 0905 |
| LMArena Text: math | Not measured | 1365 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: mathematical work | Not measured | 1367 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 81.9% | 78.8% | Kimi K2 0905 |
| LMArena Text: science | Not measured | 1347 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: medicine and healthcare | Not measured | 1347 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: legal and government | Not measured | 1358 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: business and finance | Not measured | 1343 | Only Qwen3 Coder 480B A35B measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| Design Arena: websites | 1089 | 1159 | Qwen3 Coder 480B A35B |
| Design Arena: UI components | Not measured | 1113 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: game dev | Not measured | 1099 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: data viz | Not measured | 1084 | Only Qwen3 Coder 480B A35B measured |
| Design Arena: all code categories | 1098 | 1143 | Qwen3 Coder 480B A35B |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Kimi K2 0905 | Qwen3 Coder 480B A35B | Leader |
|---|---|---|---|
| IFBench | 41.7% | 40.5% | Kimi K2 0905 |
| Long context reasoning (AA-LCR) | 53.0% | 45.7% | Kimi K2 0905 |
| Fiction.LiveBench | 66.7% | Not measured | Only Kimi K2 0905 measured |
| LMArena Text | Not measured | 1357 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: instruction following | Not measured | 1355 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: creative writing | Not measured | 1333 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: English | Not measured | 1359 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: non-English | Not measured | 1346 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Chinese | Not measured | 1357 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: German | Not measured | 1325 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Japanese | Not measured | 1311 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Korean | Not measured | 1305 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: French | Not measured | 1398 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Spanish | Not measured | 1360 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Russian | Not measured | 1366 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: Polish | Not measured | 1344 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: multi-turn | Not measured | 1366 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: longer queries | Not measured | 1378 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: writing and language | Not measured | 1340 | Only Qwen3 Coder 480B A35B measured |
| LMArena Text: entertainment and media | Not measured | 1317 | Only Qwen3 Coder 480B A35B 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 | Kimi K2 0905 | Qwen3 Coder 480B A35B | 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
Qwen3 Coder 480B A35B costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder 480B A35B costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder 480B A35B 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 | MoonshotAI Kimi K2 0905 | Qwen3 Coder 480B A35B |
|---|---|---|
| Maker | Moonshot AI | Qwen |
| Weights | Open weights | Open weights |
| Released | September 4, 2025 | July 23, 2025 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.60 | $0.30 |
| Output $/Mtok | $2.50 | $1.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Kimi K2 0905 better than Qwen3 Coder 480B A35B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Kimi K2 0905 has the edge where what matters is WeirdML or ALE-Bench, where it leads.
Which is cheaper, Kimi K2 0905 or Qwen3 Coder 480B A35B?
Kimi K2 0905 costs $0.60 per million input tokens and $2.50 per million output tokens; Qwen3 Coder 480B A35B costs $0.30 and $1.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Kimi K2 0905 or Qwen3 Coder 480B A35B?
Neither: both take 262K tokens.
How many benchmarks is the Kimi K2 0905 vs Qwen3 Coder 480B A35B comparison based on?
15 benchmarks have a result for both models as of October 21, 2026. Kimi K2 0905's coding index rests on 0 independent benchmarks and Qwen3 Coder 480B A35B's on 1. Where only one model has a result, the page says so instead of naming a winner.