GPT-4o (2024-08-06) vs Qwen3.6 Plus
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Qwen3.6 Plus for coding: it scores 37.4 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06).
GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
- Shared results
- 46
- GPT-4o (2024-08-06) only
- 12
- Qwen3.6 Plus only
- 37
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Qwen3.6 Plus
Qwen3.6 Plus scores 37.4 against 23.1.
One benchmark behind each score
Intelligence
AA Intelligence Index
Qwen3.6 Plus
Qwen3.6 Plus leads, 27.0 against 7.7.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Qwen3.6 Plus has a GPQA Diamond result, 87.4%.
Directional only
Math
AIME
Qwen3.6 Plus
Qwen3.6 Plus leads, 94.6% against 14.0%.
Same board, both measured
Knowledge
MMLU Pro
Qwen3.6 Plus
Qwen3.6 Plus leads, 87.7% against 74.1%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Qwen3.6 Plus has a Design Arena: websites result, 1243.
Directional only
Long documents
Listed context window
Qwen3.6 Plus
Qwen3.6 Plus takes 1M tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.6 Plus
GPT-4o (2024-08-06) $0.0075, Qwen3.6 Plus $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.6 Plus has the number, $1.19.
Directional only
At a glance
- Coding index
- GPT-4o (2024-08-06) 23.1 from 1 benchmark, Qwen3.6 Plus 37.4 from 1 benchmark.
- Widest category
- Agentic work, 68.7 points apart on average over 1 shared benchmark.
- Widest single gap
- OTIS Mock AIME: GPT-4o (2024-08-06) 6.4% against Qwen3.6 Plus 93.3%, 86.9 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-08-06) $10.00 against Qwen3.6 Plus $1.95 per million output tokens, 5.1x apart.
- Context window
- GPT-4o (2024-08-06) takes 128K tokens, Qwen3.6 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-4o (2024-08-06) | Bars | Qwen3.6 Plus | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 8 | ||
| Math | 0 | 5 | ||
| Knowledge | 0 | 10 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 46 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index03
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Aider polyglot | 23.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| SWE-bench Lite | 21.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena WebDev | Not measured | 1461 | Only Qwen3.6 Plus measured |
| AA Coding Index | Not measured | 54.5 | Only Qwen3.6 Plus measured |
| LiveCodeBench (Vals AI) | Not measured | 86.0% | Only Qwen3.6 Plus measured |
| SWE-bench Verified (Vals AI) | Not measured | 73.4% | Only Qwen3.6 Plus measured |
| Vibe Code Bench (Vals AI) | Not measured | 25.6% | Only Qwen3.6 Plus measured |
| Code migration (Vals AI) | Not measured | 11.1% | Only Qwen3.6 Plus measured |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Qwen3.6 Plus measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 53.2% | Only Qwen3.6 Plus measured |
| LiveCodeBench (Artificial Analysis run) | 31.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| Terminal-Bench Hard (Artificial Analysis run) | 8.3% | 43.9% | Qwen3.6 Plus |
| ALE-Bench | Not measured | 670.1 | Only Qwen3.6 Plus measured |
| LMArena Text: coding | 1283 | 1467 | Qwen3.6 Plus |
| LMArena Text: software and IT | 1278 | 1462 | Qwen3.6 Plus |
| LMArena WebDev: React | Not measured | 1454 | Only Qwen3.6 Plus measured |
| LMArena WebDev: HTML | Not measured | 1463 | Only Qwen3.6 Plus measured |
| LMArena WebDev: from an image | Not measured | 1472 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.7 | 27.0 | Qwen3.6 Plus |
| Epoch Capabilities Index | Not measured | 147.3 | Only Qwen3.6 Plus measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Finance Agent (Vals AI) | Not measured | 40.9% | Only Qwen3.6 Plus measured |
| Tax Agent Bench (Vals AI) | Not measured | 7.7% | Only Qwen3.6 Plus measured |
| Legal Research Bench (Vals AI) | Not measured | 14.9% | Only Qwen3.6 Plus measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 32.9% | Only Qwen3.6 Plus measured |
| τ²-Bench Telecom | 28.9% | 97.7% | Qwen3.6 Plus |
| Vending-Bench 2 | Not measured | $5,115 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 33 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 87.4% | Only Qwen3.6 Plus measured |
| MMMU Pro (Vals AI) | 64.0% | 84.2% | Qwen3.6 Plus |
| GPQA Diamond (Artificial Analysis run) | 52.1% | 88.2% | Qwen3.6 Plus |
| Humanity's Last Exam (Artificial Analysis run) | 2.3% | 27.8% | Qwen3.6 Plus |
| GPQA Diamond (Epoch AI run) | 49.2% | 88.4% | Qwen3.6 Plus |
| SimpleBench | 17.8% | Not measured | Only GPT-4o (2024-08-06) measured |
| Chess puzzles | 6.0% | 14.0% | Qwen3.6 Plus |
| Mystery game puzzles | Not measured | 12.0% | Only Qwen3.6 Plus measured |
| LMArena Text: hard prompts | 1264 | 1448 | Qwen3.6 Plus |
| LMArena Text: expert | 1241 | 1454 | Qwen3.6 Plus |
| LMArena Text: hard prompts in English | 1277 | 1455 | Qwen3.6 Plus |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| AIME | 14.0% | 94.6% | Qwen3.6 Plus |
| MATH 500 (Vals AI) | 75.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| MGSM (Vals AI) | 90.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| OTIS Mock AIME | 6.4% | 93.3% | Qwen3.6 Plus |
| FrontierMath, tiers 1 to 3 | 0.4% | 38.2% | Qwen3.6 Plus |
| MATH level 5 | 53.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: math | 1285 | 1449 | Qwen3.6 Plus |
| LMArena Text: mathematical work | 1283 | 1448 | Qwen3.6 Plus |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| MMLU Pro | 74.1% | 87.7% | Qwen3.6 Plus |
| LegalBench (Vals AI) | 80.1% | 84.2% | Qwen3.6 Plus |
| CaseLaw (Vals AI) | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| CorpFin (Vals AI) | 39.4% | 61.9% | Qwen3.6 Plus |
| TaxEval (Vals AI) | 71.1% | 74.7% | Qwen3.6 Plus |
| MortgageTax (Vals AI) | 61.0% | 68.0% | Qwen3.6 Plus |
| MedQA (Vals AI) | 88.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| MedCode (Vals AI) | Not measured | 36.9% | Only Qwen3.6 Plus measured |
| SimpleQA Verified | 26.0% | 44.1% | Qwen3.6 Plus |
| MMLU | 84.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: science | 1274 | 1439 | Qwen3.6 Plus |
| LMArena Text: medicine and healthcare | 1252 | 1442 | Qwen3.6 Plus |
| LMArena Text: legal and government | 1275 | 1437 | Qwen3.6 Plus |
| LMArena Text: business and finance | 1232 | 1430 | Qwen3.6 Plus |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1243 | Only Qwen3.6 Plus measured |
| Design Arena: UI components | Not measured | 1233 | Only Qwen3.6 Plus measured |
| Design Arena: game dev | Not measured | 1211 | Only Qwen3.6 Plus measured |
| Design Arena: data viz | Not measured | 1228 | Only Qwen3.6 Plus measured |
| Design Arena: 3D | Not measured | 1202 | Only Qwen3.6 Plus measured |
| Design Arena: all code categories | Not measured | 1236 | Only Qwen3.6 Plus measured |
| Design Arena: SVG | Not measured | 1160 | Only Qwen3.6 Plus measured |
| Design Arena: ASCII art | Not measured | 1115 | Only Qwen3.6 Plus measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 Plus | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 44.9% | Only Qwen3.6 Plus measured |
| MedScribe (Vals AI) | Not measured | 77.0% | Only Qwen3.6 Plus measured |
| Vals Multimodal Index | Not measured | 51.5% | Only Qwen3.6 Plus measured |
| IFBench | 36.0% | 75.2% | Qwen3.6 Plus |
| Long context reasoning (AA-LCR) | 41.0% | 78.3% | Qwen3.6 Plus |
| DTBench | Not measured | 81.9% | Only Qwen3.6 Plus measured |
| LMCA | Not measured | 33.1% | Only Qwen3.6 Plus measured |
| CL-bench | Not measured | 20.3% | Only Qwen3.6 Plus measured |
| LMArena Text | 1283 | 1436 | Qwen3.6 Plus |
| LMArena Text: instruction following | 1267 | 1424 | Qwen3.6 Plus |
| LMArena Text: creative writing | 1274 | 1404 | Qwen3.6 Plus |
| LMArena Vision | 1065 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: English | 1297 | 1445 | Qwen3.6 Plus |
| LMArena Text: non-English | 1262 | 1424 | Qwen3.6 Plus |
| LMArena Text: Chinese | 1254 | 1477 | Qwen3.6 Plus |
| LMArena Text: German | 1257 | 1451 | Qwen3.6 Plus |
| LMArena Text: Japanese | 1234 | 1390 | Qwen3.6 Plus |
| LMArena Text: Korean | 1218 | 1379 | Qwen3.6 Plus |
| LMArena Text: French | 1263 | 1455 | Qwen3.6 Plus |
| LMArena Text: Spanish | 1269 | 1432 | Qwen3.6 Plus |
| LMArena Text: Russian | 1272 | 1434 | Qwen3.6 Plus |
| LMArena Text: Polish | Not measured | 1433 | Only Qwen3.6 Plus measured |
| LMArena Text: multi-turn | 1279 | 1438 | Qwen3.6 Plus |
| LMArena Text: longer queries | 1283 | 1439 | Qwen3.6 Plus |
| LMArena Text: writing and language | 1290 | 1418 | Qwen3.6 Plus |
| LMArena Text: entertainment and media | 1267 | 1402 | Qwen3.6 Plus |
| LMArena Vision: English | 1072 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision: Chinese | 1009 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Qwen3.6 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
Qwen3.6 Plus costs less
Repository review
50K input + 3K output tokens
Qwen3.6 Plus costs less
Agent loop
200K input + 10K output tokens
Qwen3.6 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-4o (2024-08-06) | Qwen3.6 Plus |
|---|---|---|
| Maker | OpenAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | August 6, 2024 | April 2, 2026 |
| Context window | 128K | 1M |
| Input $/Mtok | $2.50 | $0.325 |
| Output $/Mtok | $10.00 | $1.95 |
| Coding index | 23.1 | 37.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $1.19 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o (2024-08-06) better than Qwen3.6 Plus for coding?
Pick Qwen3.6 Plus for coding: it scores 37.4 on the Vibe Coding Index against 23.1 for GPT-4o (2024-08-06). GPT-4o (2024-08-06) is neither cheaper nor larger in context, and leads no benchmark both models were measured on.
Which is cheaper, GPT-4o (2024-08-06) or Qwen3.6 Plus?
GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Qwen3.6 Plus costs $0.325 and $1.95. Cost per solved task is known for Qwen3.6 Plus only.
Which has the bigger context window, GPT-4o (2024-08-06) or Qwen3.6 Plus?
Qwen3.6 Plus, with 1M tokens against 128K.
How many benchmarks is the GPT-4o (2024-08-06) vs Qwen3.6 Plus comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. GPT-4o (2024-08-06)'s coding index rests on 1 independent benchmark and Qwen3.6 Plus's on 1. Where only one model has a result, the page says so instead of naming a winner.