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GPT-4o (2024-08-06) vs Qwen3 Next 80B A3B Thinking

Qwen3 Next 80B A3B Thinking leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 11.2 to 7.7, and Qwen3 Next 80B A3B Thinking costs 8.3x less per output token ($1.20 vs $10.00 per million). Updated October 22, 2026; 28 benchmarks have a result for both.

Replace GPT-4o (2024-08-06) Replace Qwen3 Next 80B A3B Thinking
GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
0
Qwen3 Next 80B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.20
28
vs boards won of 28 shared

GPT-4o (2024-08-06) or Qwen3 Next 80B A3B Thinking: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4o (2024-08-06) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGPT-4o (2024-08-06)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 Next 80B A3B ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
28
GPT-4o (2024-08-06) only
30
Qwen3 Next 80B A3B Thinking only
2
Like-for-like categories
6 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.

At a glance

Coding index
GPT-4o (2024-08-06) not benchmarked, Qwen3 Next 80B A3B Thinking not benchmarked.
Widest category
Knowledge, 19.5 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: Chinese: GPT-4o (2024-08-06) 1254 against Qwen3 Next 80B A3B Thinking 1407, 25.5 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against Qwen3 Next 80B A3B Thinking $1.20 per million output tokens, 8.3x apart.
Context window
GPT-4o (2024-08-06) takes 128K tokens, Qwen3 Next 80B A3B Thinking 262K.

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.

Boards won, where both have a result
CategoryGPT-4o (2024-08-06)BarsQwen3 Next 80B A3B ThinkingTies
Coding02
Intelligence01
Reasoning03
Math02
Knowledge04
General016
All shared boards028
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
Aider polyglot23.1%Not measuredOnly GPT-4o (2024-08-06) measured
SWE-bench Lite21.7%Not measuredOnly GPT-4o (2024-08-06) measured
AA Coding IndexNot measured17.4Only Qwen3 Next 80B A3B Thinking measured
LiveCodeBench (Artificial Analysis run)31.7%Not measuredOnly GPT-4o (2024-08-06) measured
Terminal-Bench Hard (Artificial Analysis run)8.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: coding12831392Qwen3 Next 80B A3B Thinking
LMArena Text: software and IT12781393Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 36 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
AA Intelligence Index7.711.2Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
τ²-Bench Telecom28.9%Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%Not measuredOnly GPT-4o (2024-08-06) measured
Humanity's Last Exam (Artificial Analysis run)2.3%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Epoch AI run)49.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleBench17.8%Not measuredOnly GPT-4o (2024-08-06) measured
Chess puzzles6.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: hard prompts12641371Qwen3 Next 80B A3B Thinking
LMArena Text: expert12411376Qwen3 Next 80B A3B Thinking
LMArena Text: hard prompts in English12771384Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
AIME14.0%Not measuredOnly GPT-4o (2024-08-06) measured
MATH 500 (Vals AI)75.2%Not measuredOnly GPT-4o (2024-08-06) measured
MGSM (Vals AI)90.7%Not measuredOnly GPT-4o (2024-08-06) measured
OTIS Mock AIME6.4%Not measuredOnly GPT-4o (2024-08-06) measured
FrontierMath, tiers 1 to 30.4%Not measuredOnly GPT-4o (2024-08-06) measured
MATH level 553.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: math12851399Qwen3 Next 80B A3B Thinking
LMArena Text: mathematical work12831390Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
MMLU Pro74.1%Not measuredOnly GPT-4o (2024-08-06) measured
LegalBench (Vals AI)80.1%Not measuredOnly GPT-4o (2024-08-06) measured
CorpFin (Vals AI)39.4%Not measuredOnly GPT-4o (2024-08-06) measured
TaxEval (Vals AI)71.1%Not measuredOnly GPT-4o (2024-08-06) measured
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%Not measuredOnly GPT-4o (2024-08-06) measured
SimpleQA Verified26.0%Not measuredOnly GPT-4o (2024-08-06) measured
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741384Qwen3 Next 80B A3B Thinking
LMArena Text: medicine and healthcare12521392Qwen3 Next 80B A3B Thinking
LMArena Text: legal and government12751364Qwen3 Next 80B A3B Thinking
LMArena Text: business and finance12321360Qwen3 Next 80B A3B Thinking
Neither model has a result on the other 8 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index016
General benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
IFBench36.0%Not measuredOnly GPT-4o (2024-08-06) measured
Long context reasoning (AA-LCR)41.0%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text12831368Qwen3 Next 80B A3B Thinking
LMArena Text: instruction following12671344Qwen3 Next 80B A3B Thinking
LMArena Text: creative writing12741314Qwen3 Next 80B A3B Thinking
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971392Qwen3 Next 80B A3B Thinking
LMArena Text: non-English12621342Qwen3 Next 80B A3B Thinking
LMArena Text: Chinese12541407Qwen3 Next 80B A3B Thinking
LMArena Text: German12571356Qwen3 Next 80B A3B Thinking
LMArena Text: Japanese12341280Qwen3 Next 80B A3B Thinking
LMArena Text: Korean12181310Qwen3 Next 80B A3B Thinking
LMArena Text: French12631351Qwen3 Next 80B A3B Thinking
LMArena Text: Spanish12691358Qwen3 Next 80B A3B Thinking
LMArena Text: Russian12721337Qwen3 Next 80B A3B Thinking
LMArena Text: PolishNot measured1345Only Qwen3 Next 80B A3B Thinking measured
LMArena Text: multi-turn12791346Qwen3 Next 80B A3B Thinking
LMArena Text: longer queries12831353Qwen3 Next 80B A3B Thinking
LMArena Text: writing and language12901330Qwen3 Next 80B A3B Thinking
LMArena Text: entertainment and media12671312Qwen3 Next 80B A3B Thinking
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 26 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
BenchmarkGPT-4o (2024-08-06)Qwen3 Next 80B A3B ThinkingLeader
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

GPT-4o (2024-08-06)$0.0075Fits in one request
Qwen3 Next 80B A3B Thinking$0.0008Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
Qwen3 Next 80B A3B Thinking$0.011Fits in one request

Qwen3 Next 80B A3B Thinking costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
Qwen3 Next 80B A3B Thinking$0.042Fits in one request

Qwen3 Next 80B A3B Thinking 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.

Specifications of GPT-4o (2024-08-06) and Qwen3 Next 80B A3B Thinking
SpecificationOpenAI GPT-4o (2024-08-06)Qwen3 Next 80B A3B Thinking
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedAugust 6, 2024September 11, 2025
Context window128K262K
Input $/Mtok$2.50$0.15
Output $/Mtok$10.00$1.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than Qwen3 Next 80B A3B Thinking for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, GPT-4o (2024-08-06) or Qwen3 Next 80B A3B Thinking?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Qwen3 Next 80B A3B Thinking costs $0.15 and $1.20. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-08-06) or Qwen3 Next 80B A3B Thinking?

Qwen3 Next 80B A3B Thinking, with 262K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs Qwen3 Next 80B A3B Thinking comparison based on?

28 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and Qwen3 Next 80B A3B Thinking's on 0. Where only one model has a result, the page says so instead of naming a winner.

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