GPT-6 Astra vs Qwen3.7 Plus
GPT-6 Astra leads Qwen3.7 Plus on coding, 85.1 to 33.2 on the Vibe Coding Index, and Qwen3.7 Plus costs 39.1x less per output token ($1.28 vs $50.00 per million). Updated October 22, 2026; 66 benchmarks have a result for both.
GPT-6 Astra or Qwen3.7 Plus: which to pick
Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus.
Pick Qwen3.7 Plus for output tokens 39.1x cheaper ($1.28 vs $50.00 per million) and work measured by LMArena Text: math or LMArena Text: science, where it leads.
- Shared results
- 66
- GPT-6 Astra only
- 55
- Qwen3.7 Plus only
- 9
- Like-for-like categories
- 8 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
GPT-6 Astra
GPT-6 Astra scores 85.1 against 33.2.
5 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6 Astra
GPT-6 Astra leads, 52.7 against 25.2.
Same board, both measured
Agentic work
AA Agentic Index
GPT-6 Astra
GPT-6 Astra leads, 51.0 against 17.5.
Same board, both measured
Web design
Design Arena: websites
GPT-6 Astra
GPT-6 Astra leads, 1336 against 1269.
Same board, both measured
General
Vals Index
No call
Only GPT-6 Astra has a Vals Index result, 65.0%.
Directional only
Long documents
Listed context window
GPT-6 Astra
GPT-6 Astra takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Plus
GPT-6 Astra $0.035, Qwen3.7 Plus $0.0010 per turn.
List prices
At a glance
- Coding index
- GPT-6 Astra 85.1 from 5 benchmarks, Qwen3.7 Plus 33.2 from 2 benchmarks.
- Widest category
- Coding, 29.1 points apart on average over 8 shared benchmarks.
- Widest single gap
- Mystery game puzzles: GPT-6 Astra 84.0% against Qwen3.7 Plus 17.0%, 67.0 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Astra $50.00 against Qwen3.7 Plus $1.28 per million output tokens, 39.1x apart.
- Context window
- GPT-6 Astra takes 1.05M tokens, Qwen3.7 Plus 1M.
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 | GPT-6 Astra | Bars | Qwen3.7 Plus | Ties |
|---|---|---|---|---|
| Coding | 8 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 5 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 3 | 1 | ||
| Knowledge | 2 | 2 | ||
| Web design | 8 | 0 | ||
| General | 12 | 14 | ||
| All shared boards | 49 | 17 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench coding | 93.7% | Not measured | Only GPT-6 Astra measured |
| LMArena WebDev | 1774 | Not measured | Only GPT-6 Astra measured |
| AA Coding Index | 76.9 | 55.9 | GPT-6 Astra |
| Terminal-Bench 4 (Vals AI) | 59.6% | Not measured | Only GPT-6 Astra measured |
| Vibe Code Bench (Vals AI) | 89.6% | 46.4% | GPT-6 Astra |
| Code migration (Vals AI) | 67.7% | 12.9% | GPT-6 Astra |
| ProgramBench (Vals AI) | 5.5% | Not measured | Only GPT-6 Astra measured |
| IOI (Vals AI) | 100.0% | Not measured | Only GPT-6 Astra measured |
| Terminal-Bench 2.1 (Vals AI) | 87.3% | 52.8% | GPT-6 Astra |
| SWE-bench Multimodal (Vals AI) | 43.3% | Not measured | Only GPT-6 Astra measured |
| Vibe Code Bench 1-100 (Vals AI) | 27.6% | Not measured | Only GPT-6 Astra measured |
| SkillsBench (Vals AI) | Not measured | 54.3% | Only Qwen3.7 Plus measured |
| CyberBench (Vals AI) | 41.1% | Not measured | Only GPT-6 Astra measured |
| SciCode | 56.5% | 46.1% | GPT-6 Astra |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 47.0% | Only Qwen3.7 Plus measured |
| FrontierCode | 53.3% | 10.2% | GPT-6 Astra |
| FrontierSWE | 65.5% | Not measured | Only GPT-6 Astra measured |
| GSO-Bench | 79.4% | Not measured | Only GPT-6 Astra measured |
| WeirdML | 93.3% | Not measured | Only GPT-6 Astra measured |
| MirrorCode | 46.7% | Not measured | Only GPT-6 Astra measured |
| ALE-Bench | 2951.3 | Not measured | Only GPT-6 Astra measured |
| LMArena Text: coding | 1489 | 1473 | GPT-6 Astra |
| LMArena Text: software and IT | 1474 | 1473 | GPT-6 Astra |
| LMArena WebDev: React | 1798 | Not measured | Only GPT-6 Astra measured |
| LMArena WebDev: HTML | 1775 | Not measured | Only GPT-6 Astra measured |
| LMArena WebDev: from an image | 1726 | Not measured | Only GPT-6 Astra measured |
| SciCode | 12.3% | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 12 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.7 | 25.2 | GPT-6 Astra |
| Epoch Capabilities Index | 168.8 | 147.0 | GPT-6 Astra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| AA Agentic Index | 51.0 | 17.5 | GPT-6 Astra |
| Design Arena: agents building web apps | 1373 | Not measured | Only GPT-6 Astra measured |
| Design Arena: agents building full-stack apps | 1357 | Not measured | Only GPT-6 Astra measured |
| Design Arena: agents building mobile apps | 1312 | Not measured | Only GPT-6 Astra measured |
| Design Arena: agents building Godot games | 1348 | Not measured | Only GPT-6 Astra measured |
| Design Arena: PowerPoint slides | 1219 | Not measured | Only GPT-6 Astra measured |
| Design Arena: spreadsheets | 1365 | Not measured | Only GPT-6 Astra measured |
| LiveBench research | 85.2% | Not measured | Only GPT-6 Astra measured |
| LiveBench browser | 84.0% | Not measured | Only GPT-6 Astra measured |
| LiveBench long agentic | 82.4% | Not measured | Only GPT-6 Astra measured |
| SREBench (Vals AI) | 56.9% | Not measured | Only GPT-6 Astra measured |
| Finance Agent (Vals AI) | 53.5% | 38.2% | GPT-6 Astra |
| Tax Agent Bench (Vals AI) | 20.7% | 10.5% | GPT-6 Astra |
| Legal Research Bench (Vals AI) | 39.4% | 16.4% | GPT-6 Astra |
| Harvey's Legal Agent Benchmark (Vals AI) | 7.1% | Not measured | Only GPT-6 Astra measured |
| Excel Modeling Benchmark (Vals AI) | 71.7% | 49.3% | GPT-6 Astra |
| BioMysteryBench (Vals AI) | 79.3% | Not measured | Only GPT-6 Astra measured |
| Terminal-Bench-Science (Vals AI) | 62.9% | Not measured | Only GPT-6 Astra measured |
| Vals Science Index | 65.1% | Not measured | Only GPT-6 Astra measured |
| Time Horizon Index (Vals AI) | 90.5% | Not measured | Only GPT-6 Astra measured |
| CUA-bench (Vals AI) | 19.2% | Not measured | Only GPT-6 Astra measured |
| Robo-bench (Vals AI) | 23.3% | Not measured | Only GPT-6 Astra measured |
| τ²-Bench Telecom | Not measured | 93.0% | Only Qwen3.7 Plus measured |
| APEX-Agents | 64.7% | Not measured | Only GPT-6 Astra measured |
| Remote Labor Index | 20.8% | Not measured | Only GPT-6 Astra measured |
| OSWorld 2.0 | Not measured | 2.8% | Only Qwen3.7 Plus measured |
| BALROG | 68.3% | Not measured | Only GPT-6 Astra measured |
| SpireClimb | 25.7% | Not measured | Only GPT-6 Astra measured |
| Vending-Bench 2 | $15,515 | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 12 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| LiveBench reasoning | 92.7% | Not measured | Only GPT-6 Astra measured |
| MysteryMechanism (Vals AI) | 53.1% | Not measured | Only GPT-6 Astra measured |
| GPQA Diamond (Artificial Analysis run) | 96.3% | 90.0% | GPT-6 Astra |
| Humanity's Last Exam (Artificial Analysis run) | 54.7% | 35.6% | GPT-6 Astra |
| GPQA Diamond (Epoch AI run) | 95.8% | 87.9% | GPT-6 Astra |
| ARC-AGI | 98.5% | Not measured | Only GPT-6 Astra measured |
| ARC-AGI-2 | 95.0% | Not measured | Only GPT-6 Astra measured |
| Chess puzzles | 74.0% | Not measured | Only GPT-6 Astra measured |
| Mystery game puzzles | 84.0% | 17.0% | GPT-6 Astra |
| EBR-bench | 76.2% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: hard prompts | 1463 | 1460 | GPT-6 Astra |
| LMArena Text: expert | 1489 | 1466 | GPT-6 Astra |
| LMArena Text: hard prompts in English | 1464 | 1460 | GPT-6 Astra |
| LMArena Vision: diagrams | 1297 | 1292 | GPT-6 Astra |
| LMArena Vision: homework | 1337 | 1295 | GPT-6 Astra |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index31
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 93.3% | GPT-6 Astra |
| FrontierMath, tiers 1 to 3 | 93.7% | 34.4% | GPT-6 Astra |
| FrontierMath, tier 4 | 97.6% | Not measured | Only GPT-6 Astra measured |
| ProofBench | 99.0% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: math | 1465 | 1467 | Qwen3.7 Plus |
| LMArena Text: mathematical work | 1484 | 1470 | GPT-6 Astra |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index22
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| MortgageTax (Vals AI) | Not measured | 66.2% | Only Qwen3.7 Plus measured |
| MedCode (Vals AI) | 48.5% | Not measured | Only GPT-6 Astra measured |
| SimpleQA Verified | 75.6% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: science | 1451 | 1464 | Qwen3.7 Plus |
| LMArena Text: medicine and healthcare | 1425 | 1464 | Qwen3.7 Plus |
| LMArena Text: legal and government | 1462 | 1451 | GPT-6 Astra |
| LMArena Text: business and finance | 1439 | 1435 | GPT-6 Astra |
| FACTS Benchmark Suite | 75.7% | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | 1336 | 1269 | GPT-6 Astra |
| Design Arena: UI components | 1393 | 1258 | GPT-6 Astra |
| Design Arena: game dev | 1478 | 1261 | GPT-6 Astra |
| Design Arena: data viz | 1335 | 1276 | GPT-6 Astra |
| Design Arena: 3D | 1500 | 1238 | GPT-6 Astra |
| Design Arena: all code categories | 1379 | 1269 | GPT-6 Astra |
| Design Arena: SVG | 1431 | 1208 | GPT-6 Astra |
| Design Arena: ASCII art | 1353 | 1143 | GPT-6 Astra |
| LiveBench design | 82.0% | Not measured | Only GPT-6 Astra measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index1214
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | Leader |
|---|---|---|---|
| Vals Index | 65.0% | Not measured | Only GPT-6 Astra measured |
| LiveBench data analysis | 83.0% | Not measured | Only GPT-6 Astra measured |
| SAGE (Vals AI) | 46.4% | 39.3% | GPT-6 Astra |
| MedScribe (Vals AI) | 87.9% | Not measured | Only GPT-6 Astra measured |
| Vals Multimodal Index | Not measured | 53.9% | Only Qwen3.7 Plus measured |
| IFBench | Not measured | 78.0% | Only Qwen3.7 Plus measured |
| Long context reasoning (AA-LCR) | 80.7% | 73.0% | GPT-6 Astra |
| DTBench | 97.3% | 84.0% | GPT-6 Astra |
| LMCA | 64.4% | 37.6% | GPT-6 Astra |
| Furniture assembly | 80.0% | Not measured | Only GPT-6 Astra measured |
| LMArena Text | 1441 | 1454 | Qwen3.7 Plus |
| LMArena Text: instruction following | 1455 | 1439 | GPT-6 Astra |
| LMArena Text: creative writing | 1420 | 1438 | Qwen3.7 Plus |
| LMArena Vision | 1280 | 1278 | GPT-6 Astra |
| LMArena Text: English | 1447 | 1458 | Qwen3.7 Plus |
| LMArena Text: non-English | 1432 | 1445 | Qwen3.7 Plus |
| LMArena Text: Chinese | 1489 | 1509 | Qwen3.7 Plus |
| LMArena Text: German | 1459 | 1471 | Qwen3.7 Plus |
| LMArena Text: Japanese | 1405 | 1412 | Qwen3.7 Plus |
| LMArena Text: Korean | 1428 | 1413 | GPT-6 Astra |
| LMArena Text: French | 1432 | 1472 | Qwen3.7 Plus |
| LMArena Text: Spanish | 1422 | 1457 | Qwen3.7 Plus |
| LMArena Text: Russian | 1438 | 1457 | Qwen3.7 Plus |
| LMArena Text: Polish | 1422 | 1449 | Qwen3.7 Plus |
| LMArena Text: multi-turn | 1447 | 1459 | Qwen3.7 Plus |
| LMArena Text: longer queries | 1460 | 1454 | GPT-6 Astra |
| LMArena Text: writing and language | 1437 | 1437 | Qwen3.7 Plus |
| LMArena Text: entertainment and media | 1427 | 1422 | GPT-6 Astra |
| LMArena Vision: English | 1280 | 1280 | Qwen3.7 Plus |
| LMArena Vision: Chinese | 1361 | 1332 | GPT-6 Astra |
| LMArena Vision: reading text | 1292 | 1288 | GPT-6 Astra |
| LMArena Vision: humor | Not measured | 1261 | Only Qwen3.7 Plus measured |
| LMArena Vision: creative writing | 1286 | 1258 | GPT-6 Astra |
| LMArena Document | Not measured | 1444 | Only Qwen3.7 Plus measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Astra | Qwen3.7 Plus | 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
Qwen3.7 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 Plus 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 | OpenAI GPT-6 Astra | Qwen3.7 Plus |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | September 4, 2026 | June 3, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $10.00 | $0.32 |
| Output $/Mtok | $50.00 | $1.28 |
| Coding index | 85.1 | 33.2 |
| Independent measurements behind it | 5 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Astra better than Qwen3.7 Plus for coding?
Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 33.2 for Qwen3.7 Plus. Pick Qwen3.7 Plus for output tokens 39.1x cheaper ($1.28 vs $50.00 per million) and work measured by LMArena Text: math or LMArena Text: science, where it leads.
Which is cheaper, GPT-6 Astra or Qwen3.7 Plus?
GPT-6 Astra costs $10.00 per million input tokens and $50.00 per million output tokens; Qwen3.7 Plus costs $0.32 and $1.28. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-6 Astra or Qwen3.7 Plus?
GPT-6 Astra, with 1.05M tokens against 1M.
How many benchmarks is the GPT-6 Astra vs Qwen3.7 Plus comparison based on?
66 benchmarks have a result for both models as of October 22, 2026. GPT-6 Astra's coding index rests on 5 independent benchmarks and Qwen3.7 Plus's on 2. Where only one model has a result, the page says so instead of naming a winner.