R1 0528 vs Qwen3 235B A22B Thinking 2507
R1 0528 leads Qwen3 235B A22B Thinking 2507 on the Artificial Analysis Intelligence Index, 13.1 to 12.7, and R1 0528 costs 1.6x less per output token ($2.18 vs $3.50 per million). Updated October 22, 2026; 39 benchmarks have a result for both.
R1 0528 or Qwen3 235B A22B Thinking 2507: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick R1 0528 for output tokens 1.6x cheaper ($2.18 vs $3.50 per million) and a larger context window (164K against 128K tokens).
- Shared results
- 39
- R1 0528 only
- 24
- Qwen3 235B A22B Thinking 2507 only
- 7
- 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
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
R1 0528
R1 0528 leads, 13.1 against 12.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3 235B A22B Thinking 2507 has a AA Agentic Index result, 1.3.
Directional only
Web design
Design Arena: websites
R1 0528
R1 0528 leads, 1149 against 1052.
Same board, both measured
Long documents
Listed context window
R1 0528
R1 0528 takes 164K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
R1 0528
R1 0528 $0.0016, Qwen3 235B A22B Thinking 2507 $0.0022 per turn.
List prices
At a glance
- Coding index
- R1 0528 not benchmarked, Qwen3 235B A22B Thinking 2507 not benchmarked.
- Widest category
- Web design, 17.6 points apart on average over 6 shared benchmarks.
- Widest single gap
- Design Arena: data viz: R1 0528 1182 against Qwen3 235B A22B Thinking 2507 950, 29.0 points apart on a 0 to 100 scale.
- Output price
- R1 0528 $2.18 against Qwen3 235B A22B Thinking 2507 $3.50 per million output tokens, 1.6x apart.
- Context window
- R1 0528 takes 164K tokens, Qwen3 235B A22B Thinking 2507 128K.
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 | R1 0528 | Bars | Qwen3 235B A22B Thinking 2507 | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 0 | 4 | ||
| Math | 0 | 3 | ||
| Knowledge | 1 | 3 | ||
| Web design | 6 | 0 | ||
| General | 10 | 7 | 1 tie | |
| All shared boards | 21 | 17 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| Aider polyglot | 71.4% | Not measured | Only R1 0528 measured |
| AA Coding Index | Not measured | 22.1 | Only Qwen3 235B A22B Thinking 2507 measured |
| LiveCodeBench (Artificial Analysis run) | 77.0% | Not measured | Only R1 0528 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.9% | Not measured | Only R1 0528 measured |
| WeirdML | 41.6% | 41.0% | R1 0528 |
| ALE-Bench | 804.1 | Not measured | Only R1 0528 measured |
| LMArena Text: coding | 1427 | 1424 | R1 0528 |
| LMArena Text: software and IT | 1435 | 1431 | R1 0528 |
| Neither model has a result on the other 35 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 12.7 | R1 0528 |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.3 | Only Qwen3 235B A22B Thinking 2507 measured |
| τ²-Bench Telecom | 36.5% | Not measured | Only R1 0528 measured |
| METR time horizons | 53.8% | Not measured | Only R1 0528 measured |
| DeepResearch Bench | 35.1% | Not measured | Only R1 0528 measured |
| Vending-Bench 2 | Not measured | -$11 | Only Qwen3 235B A22B Thinking 2507 measured |
| BrowseComp-Plus | 16.4% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 81.3% | Not measured | Only R1 0528 measured |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | Not measured | Only R1 0528 measured |
| GPQA Diamond (Epoch AI run) | 76.3% | 80.1% | Qwen3 235B A22B Thinking 2507 |
| ARC-AGI | 21.2% | Not measured | Only R1 0528 measured |
| ARC-AGI-2 | 1.1% | Not measured | Only R1 0528 measured |
| SimpleBench | 40.8% | Not measured | Only R1 0528 measured |
| Mystery game puzzles | Not measured | 9.0% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: hard prompts | 1415 | 1416 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: expert | 1394 | 1463 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: hard prompts in English | 1422 | 1432 | Qwen3 235B A22B Thinking 2507 |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| AA Math Index | 76.0 | Not measured | Only R1 0528 measured |
| AIME 2025 (Artificial Analysis run) | 76.0% | Not measured | Only R1 0528 measured |
| OTIS Mock AIME | 66.4% | 86.7% | Qwen3 235B A22B Thinking 2507 |
| MATH level 5 | 96.6% | Not measured | Only R1 0528 measured |
| LMArena Text: math | 1400 | 1412 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: mathematical work | 1415 | 1435 | Qwen3 235B A22B Thinking 2507 |
| MathArena | 12.9% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 84.9% | Not measured | Only R1 0528 measured |
| SimpleQA Verified | Not measured | 40.4% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMArena Text: science | 1430 | 1433 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: medicine and healthcare | 1445 | 1456 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: legal and government | 1419 | 1415 | R1 0528 |
| LMArena Text: business and finance | 1402 | 1413 | Qwen3 235B A22B Thinking 2507 |
| PRBench Finance | 32.7% | Not measured | Only R1 0528 measured |
| PRBench Legal | 36.6% | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| Design Arena: websites | 1149 | 1052 | R1 0528 |
| Design Arena: UI components | 1100 | 942 | R1 0528 |
| Design Arena: game dev | 1097 | 956 | R1 0528 |
| Design Arena: data viz | 1182 | 950 | R1 0528 |
| Design Arena: 3D | 1110 | 997 | R1 0528 |
| Design Arena: all code categories | 1138 | 1032 | R1 0528 |
| Design Arena: SVG | 1038 | Not measured | Only R1 0528 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index107
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | Leader |
|---|---|---|---|
| IFBench | 39.6% | Not measured | Only R1 0528 measured |
| Long context reasoning (AA-LCR) | 55.7% | Not measured | Only R1 0528 measured |
| DTBench | Not measured | 80.3% | Only Qwen3 235B A22B Thinking 2507 measured |
| LMCA | Not measured | 29.3% | Only Qwen3 235B A22B Thinking 2507 measured |
| Fiction.LiveBench | 75.0% | 75.0% | Tie |
| Creative writing (Lech Mazur) | 81.9% | 82.4% | Qwen3 235B A22B Thinking 2507 |
| LMArena Text | 1428 | 1415 | R1 0528 |
| LMArena Text: instruction following | 1382 | 1386 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: creative writing | 1405 | 1384 | R1 0528 |
| LMArena Text: English | 1437 | 1429 | R1 0528 |
| LMArena Text: non-English | 1412 | 1397 | R1 0528 |
| LMArena Text: Chinese | 1442 | 1481 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: German | 1404 | 1408 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: Japanese | 1391 | 1386 | R1 0528 |
| LMArena Text: Korean | 1360 | 1375 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: French | 1417 | Not measured | Only R1 0528 measured |
| LMArena Text: Spanish | 1411 | 1389 | R1 0528 |
| LMArena Text: Russian | 1423 | 1401 | R1 0528 |
| LMArena Text: Polish | 1428 | 1390 | R1 0528 |
| LMArena Text: multi-turn | 1405 | 1406 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: longer queries | 1391 | 1400 | Qwen3 235B A22B Thinking 2507 |
| LMArena Text: writing and language | 1402 | 1388 | R1 0528 |
| LMArena Text: entertainment and media | 1400 | 1370 | R1 0528 |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | R1 0528 | Qwen3 235B A22B Thinking 2507 | 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
R1 0528 costs less
Repository review
50K input + 3K output tokens
R1 0528 costs less
Agent loop
200K input + 10K output tokens
R1 0528 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 | DeepSeek R1 0528 | Qwen3 235B A22B Thinking 2507 |
|---|---|---|
| Maker | DeepSeek | Qwen |
| Weights | Open weights | Open weights |
| Released | May 28, 2025 | July 25, 2025 |
| Context window | 164K | 128K |
| Input $/Mtok | $0.50 | $0.45 |
| Output $/Mtok | $2.18 | $3.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is R1 0528 better than Qwen3 235B A22B Thinking 2507 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick R1 0528 for output tokens 1.6x cheaper ($2.18 vs $3.50 per million) and a larger context window (164K against 128K tokens).
Which is cheaper, R1 0528 or Qwen3 235B A22B Thinking 2507?
R1 0528 costs $0.50 per million input tokens and $2.18 per million output tokens; Qwen3 235B A22B Thinking 2507 costs $0.45 and $3.50. Cost per solved task is known for neither of them.
Which has the bigger context window, R1 0528 or Qwen3 235B A22B Thinking 2507?
R1 0528, with 164K tokens against 128K.
How many benchmarks is the R1 0528 vs Qwen3 235B A22B Thinking 2507 comparison based on?
39 benchmarks have a result for both models as of October 22, 2026. R1 0528's coding index rests on 0 independent benchmarks and Qwen3 235B A22B Thinking 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.