Qwen3 235B A22B Instruct 2507 vs Beam 1.0 501B A23B
Qwen3 235B A22B Instruct 2507 costs 1.5x less per output token than Beam 1.0 501B A23B ($0.775 vs $1.20 per million). Updated October 23, 2026; 2 benchmarks have a result for both.
Qwen3 235B A22B Instruct 2507 or Beam 1.0 501B A23B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen3 235B A22B Instruct 2507 for output tokens 1.5x cheaper ($0.775 vs $1.20 per million) and work measured by Design Arena: websites or Design Arena: game dev, where it leads.
- Shared results
- 2
- Qwen3 235B A22B Instruct 2507 only
- 22
- Beam 1.0 501B A23B only
- 26
- Like-for-like categories
- 1 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
No call
Only Qwen3 235B A22B Instruct 2507 has a AA Intelligence Index result, 12.0.
Directional only
Web design
Design Arena: websites
Beam 1.0 501B A23B
Beam 1.0 501B A23B leads, 1247 against 1058.
Same board, both measured
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507 $0.0005, Beam 1.0 501B A23B $0.0010 per turn.
List prices
At a glance
- Coding index
- Qwen3 235B A22B Instruct 2507 not benchmarked, Beam 1.0 501B A23B not benchmarked.
- Widest category
- Web design, 28.1 points apart on average over 2 shared benchmarks.
- Widest single gap
- Design Arena: game dev: Qwen3 235B A22B Instruct 2507 951 against Beam 1.0 501B A23B 1212, 32.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3 235B A22B Instruct 2507 $0.775 against Beam 1.0 501B A23B $1.20 per million output tokens, 1.5x apart.
- Context window
- Qwen3 235B A22B Instruct 2507 takes 262K tokens, Beam 1.0 501B A23B 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 | Beam 1.0 501B A23B | Ties |
|---|---|---|---|---|
| Web design | 0 | 2 | ||
| All shared boards | 0 | 2 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index9 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1436 | Only Beam 1.0 501B A23B measured |
| LiveCodeBench (Artificial Analysis run) | 78.8% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| SciCode | 41.4% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| 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 |
| LMArena Text: coding | Not measured | 1472 | Only Beam 1.0 501B A23B measured |
| LMArena Text: software and IT | Not measured | 1461 | Only Beam 1.0 501B A23B measured |
| LMArena WebDev: React | Not measured | 1441 | Only Beam 1.0 501B A23B measured |
| LMArena WebDev: HTML | Not measured | 1438 | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| AA Intelligence Index | 12.0 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| 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 40 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| 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% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| 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 | 1442 | Only Beam 1.0 501B A23B measured |
| LMArena Text: expert | Not measured | 1447 | Only Beam 1.0 501B A23B measured |
| LMArena Text: hard prompts in English | Not measured | 1452 | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 16 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | 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 |
| LMArena Text: math | Not measured | 1460 | Only Beam 1.0 501B A23B measured |
| LMArena Text: mathematical work | Not measured | 1474 | Only Beam 1.0 501B A23B 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 | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 84.3% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| LMArena Text: science | Not measured | 1431 | Only Beam 1.0 501B A23B measured |
| LMArena Text: medicine and healthcare | Not measured | 1378 | Only Beam 1.0 501B A23B measured |
| LMArena Text: legal and government | Not measured | 1431 | Only Beam 1.0 501B A23B measured |
| LMArena Text: business and finance | Not measured | 1430 | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 15 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Design Arena: websites | 1058 | 1247 | Beam 1.0 501B A23B |
| Design Arena: UI components | 963 | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Design Arena: game dev | 951 | 1212 | Beam 1.0 501B A23B |
| 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 | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| IFBench | 51.2% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| Long context reasoning (AA-LCR) | 72.0% | Not measured | Only Qwen3 235B A22B Instruct 2507 measured |
| 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 | 1426 | Only Beam 1.0 501B A23B measured |
| LMArena Text: instruction following | Not measured | 1431 | Only Beam 1.0 501B A23B measured |
| LMArena Text: creative writing | Not measured | 1391 | Only Beam 1.0 501B A23B measured |
| LMArena Text: English | Not measured | 1437 | Only Beam 1.0 501B A23B measured |
| LMArena Text: non-English | Not measured | 1412 | Only Beam 1.0 501B A23B measured |
| LMArena Text: Chinese | Not measured | 1428 | Only Beam 1.0 501B A23B measured |
| LMArena Text: French | Not measured | 1461 | Only Beam 1.0 501B A23B measured |
| LMArena Text: Russian | Not measured | 1411 | Only Beam 1.0 501B A23B measured |
| LMArena Text: multi-turn | Not measured | 1416 | Only Beam 1.0 501B A23B measured |
| LMArena Text: longer queries | Not measured | 1429 | Only Beam 1.0 501B A23B measured |
| LMArena Text: writing and language | Not measured | 1401 | Only Beam 1.0 501B A23B measured |
| LMArena Text: entertainment and media | Not measured | 1400 | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 32 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3 235B A22B Instruct 2507 | Beam 1.0 501B A23B | 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 235B A22B Instruct 2507 costs less
Repository review
50K input + 3K output tokens
Qwen3 235B A22B Instruct 2507 costs less
Agent loop
200K input + 10K output tokens
Qwen3 235B A22B Instruct 2507 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 | Reflection Beam 1.0 501B A23B |
|---|---|---|
| Maker | Qwen | Reflection |
| Weights | Open weights | Open weights |
| Released | July 21, 2025 | October 16, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.145 | $0.40 |
| Output $/Mtok | $0.775 | $1.20 |
| 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 Qwen3 235B A22B Instruct 2507 better than Beam 1.0 501B A23B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen3 235B A22B Instruct 2507 for output tokens 1.5x cheaper ($0.775 vs $1.20 per million) and work measured by Design Arena: websites or Design Arena: game dev, where it leads.
Which is cheaper, Qwen3 235B A22B Instruct 2507 or Beam 1.0 501B A23B?
Qwen3 235B A22B Instruct 2507 costs $0.145 per million input tokens and $0.775 per million output tokens; Beam 1.0 501B A23B costs $0.40 and $1.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen3 235B A22B Instruct 2507 or Beam 1.0 501B A23B?
Beam 1.0 501B A23B, with 1.05M tokens against 262K.
How many benchmarks is the Qwen3 235B A22B Instruct 2507 vs Beam 1.0 501B A23B comparison based on?
2 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 Beam 1.0 501B A23B's on 1. Where only one model has a result, the page says so instead of naming a winner.