GPT-6 Astra vs Qwen3.8 27B
GPT-6 Astra leads Qwen3.8 27B on coding, 85.1 to 74.2 on the Vibe Coding Index, and Qwen3.8 27B costs 19.6x less per output token ($2.55 vs $50.00 per million). Updated October 22, 2026; 74 benchmarks have a result for both.
GPT-6 Astra or Qwen3.8 27B: which to pick
Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 74.2 for Qwen3.8 27B.
Pick Qwen3.8 27B for output tokens 19.6x cheaper ($2.55 vs $50.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: software and IT, where it leads.
- Shared results
- 74
- GPT-6 Astra only
- 55
- Qwen3.8 27B only
- 11
- 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 74.2.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
GPT-6 Astra
GPT-6 Astra leads, 52.7 against 33.7.
Same board, both measured
Agentic work
AA Agentic Index
GPT-6 Astra
GPT-6 Astra leads, 51.0 against 45.8.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.8 27B has a GPQA Diamond result, 88.9%.
Directional only
Knowledge
MMLU Pro
No call
Only Qwen3.8 27B has a MMLU Pro result, 84.3%.
Directional only
Web design
Design Arena: websites
No call
Only GPT-6 Astra has a Design Arena: websites result, 1336.
Directional only
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
Qwen3.8 27B
GPT-6 Astra $0.035, Qwen3.8 27B $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.8 27B has the number, $1.26.
Directional only
At a glance
- Coding index
- GPT-6 Astra 85.1 from 5 benchmarks, Qwen3.8 27B 74.2 from 4 benchmarks.
- Widest category
- Math, 29.7 points apart on average over 3 shared benchmarks.
- Widest single gap
- ProofBench: GPT-6 Astra 99.0% against Qwen3.8 27B 16.0%, 83.0 points apart on a 0 to 100 scale.
- Output price
- GPT-6 Astra $50.00 against Qwen3.8 27B $2.55 per million output tokens, 19.6x apart.
- Context window
- GPT-6 Astra takes 1.05M tokens, Qwen3.8 27B 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 | Qwen3.8 27B | Ties |
|---|---|---|---|---|
| Coding | 13 | 2 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 1 | ||
| Reasoning | 10 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 3 | 2 | ||
| Web design | 1 | 0 | ||
| General | 21 | 7 | ||
| All shared boards | 62 | 12 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index132
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| LiveBench coding | 93.7% | 86.8% | GPT-6 Astra |
| LMArena WebDev | 1774 | 1593 | GPT-6 Astra |
| AA Coding Index | 76.9 | 68.1 | GPT-6 Astra |
| LiveCodeBench (Vals AI) | Not measured | 84.0% | Only Qwen3.8 27B measured |
| SWE-bench Verified (Vals AI) | Not measured | 86.0% | Only Qwen3.8 27B measured |
| Terminal-Bench 4 (Vals AI) | 59.6% | Not measured | Only GPT-6 Astra measured |
| Vibe Code Bench (Vals AI) | 89.6% | 64.8% | GPT-6 Astra |
| Code migration (Vals AI) | 67.7% | 14.2% | GPT-6 Astra |
| ProgramBench (Vals AI) | 5.5% | 0.0% | GPT-6 Astra |
| IOI (Vals AI) | 100.0% | 39.1% | GPT-6 Astra |
| Terminal-Bench 2.1 (Vals AI) | 87.3% | 58.4% | 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 | 38.1% | Only Qwen3.8 27B measured |
| CyberBench (Vals AI) | 41.1% | 67.8% | Qwen3.8 27B |
| SciCode | 56.5% | 46.6% | GPT-6 Astra |
| FrontierCode | 53.3% | Not measured | Only GPT-6 Astra measured |
| 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 | 1483 | GPT-6 Astra |
| LMArena Text: software and IT | 1474 | 1478 | Qwen3.8 27B |
| LMArena WebDev: React | 1798 | 1602 | GPT-6 Astra |
| LMArena WebDev: HTML | 1775 | 1570 | GPT-6 Astra |
| LMArena WebDev: from an image | 1726 | 1577 | GPT-6 Astra |
| SciCode | 12.3% | Not measured | Only GPT-6 Astra measured |
| SWE-Bench Pro V2 | 96.9% | Not measured | Only GPT-6 Astra measured |
| SWE Atlas: Codebase QnA | 59.1% | Not measured | Only GPT-6 Astra measured |
| SWE Atlas: Refactoring | 59.1% | Not measured | Only GPT-6 Astra measured |
| SWE Atlas: Test Writing | 50.7% | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 11 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.7 | 33.7 | GPT-6 Astra |
| Epoch Capabilities Index | 168.8 | 151.7 | GPT-6 Astra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index91
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| AA Agentic Index | 51.0 | 45.8 | GPT-6 Astra |
| Design Arena: agents building web apps | 1374 | 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 | 1217 | Not measured | Only GPT-6 Astra measured |
| Design Arena: spreadsheets | 1378 | Not measured | Only GPT-6 Astra measured |
| LiveBench research | 85.2% | 59.4% | GPT-6 Astra |
| LiveBench browser | 84.0% | 32.0% | GPT-6 Astra |
| LiveBench long agentic | 82.4% | 27.9% | GPT-6 Astra |
| SREBench (Vals AI) | 56.9% | Not measured | Only GPT-6 Astra measured |
| Finance Agent (Vals AI) | 53.5% | 48.5% | GPT-6 Astra |
| Tax Agent Bench (Vals AI) | 20.7% | 30.9% | Qwen3.8 27B |
| Legal Research Bench (Vals AI) | 39.4% | 36.1% | 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% | 59.7% | GPT-6 Astra |
| BioMysteryBench (Vals AI) | 79.3% | Not measured | Only GPT-6 Astra measured |
| Terminal-Bench-Science (Vals AI) | 62.9% | 0.0% | GPT-6 Astra |
| 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 |
| APEX-Agents | 64.7% | 47.5% | GPT-6 Astra |
| Remote Labor Index | 20.8% | Not measured | Only GPT-6 Astra 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 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 88.9% | Only Qwen3.8 27B measured |
| LiveBench reasoning | 92.7% | 80.0% | GPT-6 Astra |
| MysteryMechanism (Vals AI) | 53.1% | Not measured | Only GPT-6 Astra measured |
| MMMU Pro (Vals AI) | Not measured | 83.9% | Only Qwen3.8 27B measured |
| GPQA Diamond (Artificial Analysis run) | 96.3% | 90.5% | GPT-6 Astra |
| Humanity's Last Exam (Artificial Analysis run) | 54.7% | 33.9% | GPT-6 Astra |
| GPQA Diamond (Epoch AI run) | 95.8% | Not measured | Only GPT-6 Astra measured |
| ARC-AGI | 98.5% | 87.5% | GPT-6 Astra |
| ARC-AGI-2 | 95.0% | 42.4% | GPT-6 Astra |
| Chess puzzles | 74.0% | Not measured | Only GPT-6 Astra measured |
| Mystery game puzzles | 84.0% | Not measured | Only GPT-6 Astra measured |
| EBR-bench | 76.2% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: hard prompts | 1463 | 1459 | GPT-6 Astra |
| LMArena Text: expert | 1489 | 1479 | GPT-6 Astra |
| LMArena Text: hard prompts in English | 1464 | 1461 | GPT-6 Astra |
| LMArena Vision: diagrams | 1297 | 1285 | GPT-6 Astra |
| LMArena Vision: homework | 1337 | 1295 | GPT-6 Astra |
| Humanity's Last Exam (Scale run) | 60.6% | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | Not measured | Only GPT-6 Astra measured |
| FrontierMath, tiers 1 to 3 | 93.7% | Not measured | Only GPT-6 Astra measured |
| FrontierMath, tier 4 | 97.6% | Not measured | Only GPT-6 Astra measured |
| ProofBench | 99.0% | 16.0% | GPT-6 Astra |
| LMArena Text: math | 1465 | 1455 | GPT-6 Astra |
| LMArena Text: mathematical work | 1484 | 1458 | GPT-6 Astra |
| MathArena | 81.9% | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 84.3% | Only Qwen3.8 27B measured |
| LegalBench (Vals AI) | Not measured | 82.4% | Only Qwen3.8 27B measured |
| TaxEval (Vals AI) | Not measured | 70.8% | Only Qwen3.8 27B measured |
| MortgageTax (Vals AI) | Not measured | 64.9% | Only Qwen3.8 27B measured |
| MedCode (Vals AI) | 48.5% | 28.7% | GPT-6 Astra |
| SimpleQA Verified | 75.6% | Not measured | Only GPT-6 Astra measured |
| LMArena Text: science | 1451 | 1467 | Qwen3.8 27B |
| LMArena Text: medicine and healthcare | 1425 | 1437 | Qwen3.8 27B |
| LMArena Text: legal and government | 1462 | 1447 | GPT-6 Astra |
| LMArena Text: business and finance | 1439 | 1438 | GPT-6 Astra |
| FACTS Benchmark Suite | 75.7% | Not measured | Only GPT-6 Astra measured |
| PRBench Finance | 47.5% | Not measured | Only GPT-6 Astra measured |
| PRBench Legal | 48.4% | Not measured | Only GPT-6 Astra measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| Design Arena: websites | 1336 | Not measured | Only GPT-6 Astra measured |
| Design Arena: UI components | 1394 | Not measured | Only GPT-6 Astra measured |
| Design Arena: game dev | 1480 | Not measured | Only GPT-6 Astra measured |
| Design Arena: data viz | 1334 | Not measured | Only GPT-6 Astra measured |
| Design Arena: 3D | 1500 | Not measured | Only GPT-6 Astra measured |
| Design Arena: all code categories | 1379 | Not measured | Only GPT-6 Astra measured |
| Design Arena: SVG | 1430 | Not measured | Only GPT-6 Astra measured |
| Design Arena: ASCII art | 1353 | Not measured | Only GPT-6 Astra measured |
| LiveBench design | 82.0% | 75.9% | GPT-6 Astra |
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
| Benchmark | GPT-6 Astra | Qwen3.8 27B | Leader |
|---|---|---|---|
| Vals Index | 65.0% | Not measured | Only GPT-6 Astra measured |
| LiveBench data analysis | 83.0% | 76.6% | GPT-6 Astra |
| SAGE (Vals AI) | 46.4% | 52.4% | Qwen3.8 27B |
| MedScribe (Vals AI) | 87.9% | 83.8% | GPT-6 Astra |
| Long context reasoning (AA-LCR) | 80.7% | 82.0% | Qwen3.8 27B |
| DTBench | 97.3% | 88.0% | GPT-6 Astra |
| LMCA | 64.4% | 41.4% | GPT-6 Astra |
| Surface Evolver Bench | Not measured | 45.0% | Only Qwen3.8 27B measured |
| Furniture assembly | 80.0% | Not measured | Only GPT-6 Astra measured |
| LMArena Text | 1441 | 1440 | GPT-6 Astra |
| LMArena Text: instruction following | 1455 | 1436 | GPT-6 Astra |
| LMArena Text: creative writing | 1420 | 1383 | GPT-6 Astra |
| LMArena Vision | 1280 | 1269 | GPT-6 Astra |
| LMArena Text: English | 1447 | 1448 | Qwen3.8 27B |
| LMArena Text: non-English | 1432 | 1428 | GPT-6 Astra |
| LMArena Text: Chinese | 1489 | 1501 | Qwen3.8 27B |
| LMArena Text: German | 1459 | 1443 | GPT-6 Astra |
| LMArena Text: Japanese | 1405 | 1387 | GPT-6 Astra |
| LMArena Text: Korean | 1428 | 1384 | GPT-6 Astra |
| LMArena Text: French | 1432 | 1465 | Qwen3.8 27B |
| LMArena Text: Spanish | 1422 | 1449 | Qwen3.8 27B |
| LMArena Text: Russian | 1438 | 1415 | GPT-6 Astra |
| LMArena Text: Polish | 1422 | 1439 | Qwen3.8 27B |
| LMArena Text: multi-turn | 1447 | 1440 | GPT-6 Astra |
| LMArena Text: longer queries | 1460 | 1448 | GPT-6 Astra |
| LMArena Text: writing and language | 1437 | 1405 | GPT-6 Astra |
| LMArena Text: entertainment and media | 1427 | 1393 | GPT-6 Astra |
| LMArena Vision: English | 1280 | 1267 | GPT-6 Astra |
| LMArena Vision: Chinese | 1361 | 1326 | GPT-6 Astra |
| LMArena Vision: reading text | 1292 | 1281 | GPT-6 Astra |
| LMArena Vision: humor | Not measured | 1235 | Only Qwen3.8 27B measured |
| LMArena Vision: creative writing | 1286 | 1237 | GPT-6 Astra |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-6 Astra | Qwen3.8 27B | 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
Qwen3.8 27B costs less
Repository review
50K input + 3K output tokens
Qwen3.8 27B costs less
Agent loop
200K input + 10K output tokens
Qwen3.8 27B 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 | Qwen3.8 27B |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | Open weights |
| Released | September 4, 2026 | August 14, 2026 |
| Context window | 1.05M | 1M |
| Input $/Mtok | $10.00 | $0.425 |
| Output $/Mtok | $50.00 | $2.55 |
| Coding index | 85.1 | 74.2 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | $1.26 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-6 Astra better than Qwen3.8 27B for coding?
Pick GPT-6 Astra for coding: it scores 85.1 on the Vibe Coding Index against 74.2 for Qwen3.8 27B. Pick Qwen3.8 27B for output tokens 19.6x cheaper ($2.55 vs $50.00 per million) and work measured by CyberBench (Vals AI) or LMArena Text: software and IT, where it leads.
Which is cheaper, GPT-6 Astra or Qwen3.8 27B?
GPT-6 Astra costs $10.00 per million input tokens and $50.00 per million output tokens; Qwen3.8 27B costs $0.425 and $2.55. Cost per solved task is known for Qwen3.8 27B only.
Which has the bigger context window, GPT-6 Astra or Qwen3.8 27B?
GPT-6 Astra, with 1.05M tokens against 1M.
How many benchmarks is the GPT-6 Astra vs Qwen3.8 27B comparison based on?
74 benchmarks have a result for both models as of October 22, 2026. GPT-6 Astra's coding index rests on 5 independent benchmarks and Qwen3.8 27B's on 4. Where only one model has a result, the page says so instead of naming a winner.