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Claude Opus 5.5 vs Qwen3.8 2.4T A95B

Claude Opus 5.5 leads Qwen3.8 2.4T A95B on the Artificial Analysis Intelligence Index, 57.6 to 39.9, and Qwen3.8 2.4T A95B costs 3.3x less per output token ($6.00 vs $20.00 per million). Updated October 22, 2026; 5 benchmarks have a result for both.

Claude Opus 5.5Anthropic
Coding
88.8
Overall
87.1
Output $/M
$20.00
5
Qwen3.8 2.4T A95BQwen
Coding
No data
Overall
No data
Output $/M
$6.00
0
vs boards won of 5 shared

Claude Opus 5.5 or Qwen3.8 2.4T A95B: which to pick

Only Claude Opus 5.5 has a coding score, 88.8 on the Vibe Coding Index; Qwen3.8 2.4T A95B has none, so the two cannot be ranked on coding.

Pick Qwen3.8 2.4T A95B for output tokens 3.3x cheaper ($6.00 vs $20.00 per million) and a larger context window (1.05M against 1M tokens).

Shared results
5
Claude Opus 5.5 only
107
Qwen3.8 2.4T A95B only
4
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.

At a glance

Coding index
Claude Opus 5.5 88.8 from 5 benchmarks, Qwen3.8 2.4T A95B not benchmarked.
Widest category
Math, 47.5 points apart on average over 1 shared benchmark.
Widest single gap
MathArena: Claude Opus 5.5 79.0% against Qwen3.8 2.4T A95B 31.6%, 47.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against Qwen3.8 2.4T A95B $6.00 per million output tokens, 3.3x apart.
Context window
Claude Opus 5.5 takes 1M tokens, Qwen3.8 2.4T A95B 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.

Boards won, where both have a result
CategoryClaude Opus 5.5BarsQwen3.8 2.4T A95BTies
Coding10
Intelligence10
Reasoning10
Math10
General10
All shared boards50
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev1807Not measuredOnly Claude Opus 5.5 measured
AA Coding IndexNot measured71.9Only Qwen3.8 2.4T A95B measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Opus 5.5 measured
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
SciCode66.9%54.1%Claude Opus 5.5
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4Not measuredOnly Claude Opus 5.5 measured
LMArena Text: coding1545Not measuredOnly Claude Opus 5.5 measured
LMArena Text: software and IT1538Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML1753Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
SciCode18.5%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
AA Intelligence Index57.639.9Claude Opus 5.5
Epoch Capabilities Index168.8Not measuredOnly Claude Opus 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
Agentic work benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
AA Agentic IndexNot measured50.1Only Qwen3.8 2.4T A95B measured
Design Arena: agents building web apps1316Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building mobile apps1310Not measuredOnly Claude Opus 5.5 measured
Design Arena: spreadsheets1385Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235Not measuredOnly Claude Opus 5.5 measured
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
MCP AtlasNot measured84.5%Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured93.5%Only Qwen3.8 2.4T A95B measured
Humanity's Last Exam (Artificial Analysis run)61.4%42.4%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI98.5%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI-293.3%Not measuredOnly Claude Opus 5.5 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts1536Not measuredOnly Claude Opus 5.5 measured
LMArena Text: expert1549Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts in English1535Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 measured
Humanity's Last Exam (Scale run)55.0%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
OTIS Mock AIME100.0%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tiers 1 to 391.2%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: math1518Not measuredOnly Claude Opus 5.5 measured
LMArena Text: mathematical work1516Not measuredOnly Claude Opus 5.5 measured
MathArena79.0%31.6%Claude Opus 5.5
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science1524Not measuredOnly Claude Opus 5.5 measured
LMArena Text: medicine and healthcare1509Not measuredOnly Claude Opus 5.5 measured
LMArena Text: legal and government1518Not measuredOnly Claude Opus 5.5 measured
LMArena Text: business and finance1494Not measuredOnly Claude Opus 5.5 measured
FACTS Benchmark Suite65.3%Not measuredOnly Claude Opus 5.5 measured
PRBench Legal47.6%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 12 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
Design Arena: websites1335Not measuredOnly Claude Opus 5.5 measured
Design Arena: UI components1382Not measuredOnly Claude Opus 5.5 measured
Design Arena: game dev1455Not measuredOnly Claude Opus 5.5 measured
Design Arena: data viz1398Not measuredOnly Claude Opus 5.5 measured
Design Arena: 3D1476Not measuredOnly Claude Opus 5.5 measured
Design Arena: all code categories1388Not measuredOnly Claude Opus 5.5 measured
Design Arena: SVG1328Not measuredOnly Claude Opus 5.5 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
Long context reasoning (AA-LCR)84.7%80.3%Claude Opus 5.5
DTBench98.9%Not measuredOnly Claude Opus 5.5 measured
LMCA68.2%Not measuredOnly Claude Opus 5.5 measured
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text1516Not measuredOnly Claude Opus 5.5 measured
LMArena Text: instruction following1537Not measuredOnly Claude Opus 5.5 measured
LMArena Text: creative writing1535Not measuredOnly Claude Opus 5.5 measured
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English1519Not measuredOnly Claude Opus 5.5 measured
LMArena Text: non-English1507Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Chinese1582Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Japanese1534Not measuredOnly Claude Opus 5.5 measured
LMArena Text: French1493Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Spanish1508Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Russian1517Not measuredOnly Claude Opus 5.5 measured
LMArena Text: multi-turn1501Not measuredOnly Claude Opus 5.5 measured
LMArena Text: longer queries1532Not measuredOnly Claude Opus 5.5 measured
LMArena Text: writing and language1532Not measuredOnly Claude Opus 5.5 measured
LMArena Text: entertainment and media1515Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5.5 and Qwen3.8 2.4T A95B
BenchmarkClaude Opus 5.5Qwen3.8 2.4T A95BLeader
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

Claude Opus 5.5$0.014Fits in one request
Qwen3.8 2.4T A95B$0.0050Fits in one request

Qwen3.8 2.4T A95B costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
Qwen3.8 2.4T A95B$0.118Fits in one request

Qwen3.8 2.4T A95B costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
Qwen3.8 2.4T A95B$0.460Fits in one request

Qwen3.8 2.4T A95B 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 Claude Opus 5.5 and Qwen3.8 2.4T A95B
SpecificationAnthropic Claude Opus 5.5Qwen3.8 2.4T A95B
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026August 12, 2026
Context window1M1.05M
Input $/Mtok$4.00$2.00
Output $/Mtok$20.00$6.00
Coding index88.8Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than Qwen3.8 2.4T A95B for coding?

Only Claude Opus 5.5 has a coding score, 88.8 on the Vibe Coding Index; Qwen3.8 2.4T A95B has none, so the two cannot be ranked on coding. Pick Qwen3.8 2.4T A95B for output tokens 3.3x cheaper ($6.00 vs $20.00 per million) and a larger context window (1.05M against 1M tokens).

Which is cheaper, Claude Opus 5.5 or Qwen3.8 2.4T A95B?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Qwen3.8 2.4T A95B costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 5.5 or Qwen3.8 2.4T A95B?

Qwen3.8 2.4T A95B, with 1.05M tokens against 1M.

How many benchmarks is the Claude Opus 5.5 vs Qwen3.8 2.4T A95B comparison based on?

5 benchmarks have a result for both models as of October 22, 2026. Claude Opus 5.5's coding index rests on 5 independent benchmarks and Qwen3.8 2.4T A95B's on 0. Where only one model has a result, the page says so instead of naming a winner.

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