Qwen3.5-Flash vs Beam 1.0 501B A23B
Qwen3.5-Flash costs 4.6x less per output token than Beam 1.0 501B A23B ($0.26 vs $1.20 per million). Updated October 22, 2026; 26 benchmarks have a result for both.
Qwen3.5-Flash or Beam 1.0 501B A23B: which to pick
Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding.
Pick Beam 1.0 501B A23B for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.
- Shared results
- 26
- Qwen3.5-Flash only
- 29
- Beam 1.0 501B A23B only
- 2
- Like-for-like categories
- 5 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 Qwen3.5-Flash has a coding score, so no call is made.
One side not measured
Reasoning
GPQA Diamond
No call
Only Qwen3.5-Flash has a GPQA Diamond result, 82.8%.
Directional only
Math
AIME
No call
Only Qwen3.5-Flash has a AIME result, 92.5%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.5-Flash has a MMLU Pro result, 84.1%.
Directional only
Web design
Design Arena: websites
No call
Only Beam 1.0 501B A23B has a Design Arena: websites result, 1245.
Directional only
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.5-Flash
Qwen3.5-Flash $0.0002, Beam 1.0 501B A23B $0.0010 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.5-Flash has the number, $0.40.
Directional only
At a glance
- Coding index
- Qwen3.5-Flash 41.1 from 2 benchmarks, Beam 1.0 501B A23B not benchmarked.
- Widest category
- Coding, 21.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Qwen3.5-Flash 1229 against Beam 1.0 501B A23B 1443, 35.6 points apart on a 0 to 100 scale.
- Output price
- Qwen3.5-Flash $0.26 against Beam 1.0 501B A23B $1.20 per million output tokens, 4.6x apart.
- Context window
- Qwen3.5-Flash takes 1M 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 | Qwen3.5-Flash | Bars | Beam 1.0 501B A23B | Ties |
|---|---|---|---|---|
| Coding | 0 | 5 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 3 | ||
| General | 1 | 11 | ||
| All shared boards | 2 | 24 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| LMArena WebDev | 1244 | 1437 | Beam 1.0 501B A23B |
| LiveCodeBench (Vals AI) | 83.3% | Not measured | Only Qwen3.5-Flash measured |
| SWE-bench Verified (Vals AI) | 64.4% | Not measured | Only Qwen3.5-Flash measured |
| ALE-Bench | 265.9 | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: coding | 1412 | 1473 | Beam 1.0 501B A23B |
| LMArena Text: software and IT | 1416 | 1461 | Beam 1.0 501B A23B |
| LMArena WebDev: React | 1229 | 1443 | Beam 1.0 501B A23B |
| LMArena WebDev: HTML | 1291 | 1436 | Beam 1.0 501B A23B |
| Neither model has a result on the other 35 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Epoch Capabilities Index | 143.5 | Not measured | Only Qwen3.5-Flash measured |
| Neither model has a result on the other 1 board here | |||
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Neither model has a result on 42 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| GPQA Diamond | 82.8% | Not measured | Only Qwen3.5-Flash measured |
| MMMU Pro (Vals AI) | 81.9% | Not measured | Only Qwen3.5-Flash measured |
| GPQA Diamond (Epoch AI run) | 82.3% | Not measured | Only Qwen3.5-Flash measured |
| Chess puzzles | 14.0% | Not measured | Only Qwen3.5-Flash measured |
| Mystery game puzzles | 20.0% | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: hard prompts | 1403 | 1442 | Beam 1.0 501B A23B |
| LMArena Text: expert | 1407 | 1447 | Beam 1.0 501B A23B |
| LMArena Text: hard prompts in English | 1409 | 1451 | Beam 1.0 501B A23B |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| AIME | 92.5% | Not measured | Only Qwen3.5-Flash measured |
| OTIS Mock AIME | 84.4% | Not measured | Only Qwen3.5-Flash measured |
| FrontierMath, tiers 1 to 3 | 18.2% | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: math | 1407 | 1459 | Beam 1.0 501B A23B |
| LMArena Text: mathematical work | 1413 | 1475 | Beam 1.0 501B A23B |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| MMLU Pro | 84.1% | Not measured | Only Qwen3.5-Flash measured |
| LegalBench (Vals AI) | 84.3% | Not measured | Only Qwen3.5-Flash measured |
| CaseLaw (Vals AI) | 56.0% | Not measured | Only Qwen3.5-Flash measured |
| CorpFin (Vals AI) | 63.6% | Not measured | Only Qwen3.5-Flash measured |
| TaxEval (Vals AI) | 72.2% | Not measured | Only Qwen3.5-Flash measured |
| MortgageTax (Vals AI) | 67.4% | Not measured | Only Qwen3.5-Flash measured |
| MedCode (Vals AI) | 33.0% | Not measured | Only Qwen3.5-Flash measured |
| SimpleQA Verified | 20.3% | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: science | 1415 | 1430 | Beam 1.0 501B A23B |
| LMArena Text: medicine and healthcare | 1407 | 1376 | Qwen3.5-Flash |
| LMArena Text: legal and government | 1398 | 1433 | Beam 1.0 501B A23B |
| LMArena Text: business and finance | 1394 | 1430 | Beam 1.0 501B A23B |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1245 | Only Beam 1.0 501B A23B measured |
| Design Arena: game dev | Not measured | 1220 | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 7 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index111
| Benchmark | Qwen3.5-Flash | Beam 1.0 501B A23B | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 42.5% | Not measured | Only Qwen3.5-Flash measured |
| MedScribe (Vals AI) | 70.6% | Not measured | Only Qwen3.5-Flash measured |
| DTBench | 82.9% | Not measured | Only Qwen3.5-Flash measured |
| LMCA | 29.1% | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text | 1397 | 1425 | Beam 1.0 501B A23B |
| LMArena Text: instruction following | 1374 | 1430 | Beam 1.0 501B A23B |
| LMArena Text: creative writing | 1343 | 1390 | Beam 1.0 501B A23B |
| LMArena Text: English | 1404 | 1436 | Beam 1.0 501B A23B |
| LMArena Text: non-English | 1385 | 1413 | Beam 1.0 501B A23B |
| LMArena Text: Chinese | 1445 | 1424 | Qwen3.5-Flash |
| LMArena Text: German | 1390 | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: Japanese | 1369 | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: Korean | 1344 | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: French | 1413 | 1461 | Beam 1.0 501B A23B |
| LMArena Text: Spanish | 1400 | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: Russian | 1380 | 1412 | Beam 1.0 501B A23B |
| LMArena Text: Polish | 1376 | Not measured | Only Qwen3.5-Flash measured |
| LMArena Text: multi-turn | 1393 | 1414 | Beam 1.0 501B A23B |
| LMArena Text: longer queries | 1392 | 1429 | Beam 1.0 501B A23B |
| LMArena Text: writing and language | 1369 | 1400 | Beam 1.0 501B A23B |
| LMArena Text: entertainment and media | 1347 | 1399 | Beam 1.0 501B A23B |
| Neither model has a result on the other 27 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen3.5-Flash | 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
Qwen3.5-Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.5-Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.5-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 | Qwen3.5-Flash | Reflection Beam 1.0 501B A23B |
|---|---|---|
| Maker | Qwen | Reflection |
| Weights | No public weights listed | Open weights |
| Released | February 25, 2026 | October 16, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $0.065 | $0.40 |
| Output $/Mtok | $0.26 | $1.20 |
| Coding index | 41.1 | Not benchmarked |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.40 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.5-Flash better than Beam 1.0 501B A23B for coding?
Only Qwen3.5-Flash has a coding score, 41.1 on the Vibe Coding Index; Beam 1.0 501B A23B has none, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or LMArena Text: coding, where it leads.
Which is cheaper, Qwen3.5-Flash or Beam 1.0 501B A23B?
Qwen3.5-Flash costs $0.065 per million input tokens and $0.26 per million output tokens; Beam 1.0 501B A23B costs $0.40 and $1.20. Cost per solved task is known for Qwen3.5-Flash only.
Which has the bigger context window, Qwen3.5-Flash or Beam 1.0 501B A23B?
Beam 1.0 501B A23B, with 1.05M tokens against 1M.
How many benchmarks is the Qwen3.5-Flash vs Beam 1.0 501B A23B comparison based on?
26 benchmarks have a result for both models as of October 22, 2026. Qwen3.5-Flash's coding index rests on 2 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.