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Claude Opus 4.7 vs Qwen3 Coder Next

Updated October 21, 2026. 10 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.7Anthropic
Coding
67.5
Overall
40.7
Output $/M
$25.00
10
Qwen3 Coder NextQwen
Coding
No data
Overall
9.2
Output $/M
$0.80
0
vs boards won of 10 shared

Decision reading

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding.

Qwen3 Coder Next has the edge where output tokens cost 31.3x less.

Shared results
10
Claude Opus 4.7 only
91
Qwen3 Coder Next only
1
Like-for-like categories
5 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.

At a glance

Coding index
Claude Opus 4.7 67.5 from 4 benchmarks, Qwen3 Coder Next not benchmarked.
Widest category
Coding, 38.6 points apart on average over 3 shared benchmarks.
Widest single gap
WeirdML: Claude Opus 4.7 76.4% against Qwen3 Coder Next 34.4%, 42.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Qwen3 Coder Next $0.80 per million output tokens, 31.3x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Qwen3 Coder Next 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
CategoryClaude Opus 4.7BarsQwen3 Coder NextTies
Coding30
Intelligence10
Agentic work20
Reasoning20
General20
All shared boards100
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
LMArena WebDev1558Not measuredOnly Claude Opus 4.7 measured
AA Coding Index73.636.2Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%Not measuredOnly Claude Opus 4.7 measured
Vibe Code Bench (Vals AI)71.0%Not measuredOnly Claude Opus 4.7 measured
Code migration (Vals AI)43.9%Not measuredOnly Claude Opus 4.7 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%Not measuredOnly Claude Opus 4.7 measured
SciCodeNot measured36.2%Only Qwen3 Coder Next measured
Terminal-Bench Hard (Artificial Analysis run)54.5%18.2%Claude Opus 4.7
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%34.4%Claude Opus 4.7
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: coding1519Not measuredOnly Claude Opus 4.7 measured
LMArena Text: software and IT1516Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: React1560Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: HTML1554Not measuredOnly Claude Opus 4.7 measured
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
AA Intelligence Index40.79.2Claude Opus 4.7
Epoch Capabilities Index156.8Not measuredOnly Claude Opus 4.7 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
AA Agentic Index38.60.9Claude Opus 4.7
Finance Agent (Vals AI)51.5%Not measuredOnly Claude Opus 4.7 measured
Tax Agent Bench (Vals AI)23.7%Not measuredOnly Claude Opus 4.7 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Opus 4.7 measured
Excel Modeling Benchmark (Vals AI)63.7%Not measuredOnly Claude Opus 4.7 measured
τ²-Bench Telecom88.6%79.5%Claude Opus 4.7
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
GPQA Diamond90.2%Not measuredOnly Claude Opus 4.7 measured
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%73.7%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%10.1%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts1506Not measuredOnly Claude Opus 4.7 measured
LMArena Text: expert1521Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts in English1508Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: diagrams1336Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: math1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: mathematical work1509Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
MMLU Pro89.9%Not measuredOnly Claude Opus 4.7 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%Not measuredOnly Claude Opus 4.7 measured
CorpFin (Vals AI)66.1%Not measuredOnly Claude Opus 4.7 measured
TaxEval (Vals AI)75.3%Not measuredOnly Claude Opus 4.7 measured
MortgageTax (Vals AI)70.3%Not measuredOnly Claude Opus 4.7 measured
MedCode (Vals AI)54.9%Not measuredOnly Claude Opus 4.7 measured
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science1508Not measuredOnly Claude Opus 4.7 measured
LMArena Text: medicine and healthcare1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: legal and government1504Not measuredOnly Claude Opus 4.7 measured
LMArena Text: business and finance1490Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
SAGE (Vals AI)56.1%Not measuredOnly Claude Opus 4.7 measured
MedScribe (Vals AI)83.0%Not measuredOnly Claude Opus 4.7 measured
Vals Multimodal Index67.4%Not measuredOnly Claude Opus 4.7 measured
IFBench58.6%35.2%Claude Opus 4.7
Long context reasoning (AA-LCR)78.7%47.0%Claude Opus 4.7
DTBench94.7%Not measuredOnly Claude Opus 4.7 measured
LMCA52.2%Not measuredOnly Claude Opus 4.7 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text1490Not measuredOnly Claude Opus 4.7 measured
LMArena Text: instruction following1498Not measuredOnly Claude Opus 4.7 measured
LMArena Text: creative writing1486Not measuredOnly Claude Opus 4.7 measured
LMArena Vision1317Not measuredOnly Claude Opus 4.7 measured
LMArena Text: English1496Not measuredOnly Claude Opus 4.7 measured
LMArena Text: non-English1480Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Chinese1531Not measuredOnly Claude Opus 4.7 measured
LMArena Text: German1495Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.7 measured
LMArena Text: French1503Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Spanish1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Russian1494Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Polish1489Not measuredOnly Claude Opus 4.7 measured
LMArena Text: multi-turn1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: longer queries1505Not measuredOnly Claude Opus 4.7 measured
LMArena Text: writing and language1492Not measuredOnly Claude Opus 4.7 measured
LMArena Text: entertainment and media1474Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: English1322Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: Chinese1371Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: reading text1327Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: humor1309Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing1326Not measuredOnly Claude Opus 4.7 measured
LMArena Document1495Not measuredOnly Claude Opus 4.7 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
Image generation benchmarks for Claude Opus 4.7 and Qwen3 Coder Next
BenchmarkClaude Opus 4.7Qwen3 Coder NextLeader
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 4.7$0.018Fits in one request
Qwen3 Coder Next$0.0005Fits in one request

Qwen3 Coder Next costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Qwen3 Coder Next$0.0084Fits in one request

Qwen3 Coder Next costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Qwen3 Coder Next$0.032Fits in one request

Qwen3 Coder Next 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 4.7 and Qwen3 Coder Next
SpecificationAnthropic Claude Opus 4.7Qwen3 Coder Next
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedApril 16, 2026February 4, 2026
Context window1M262K
Input $/Mtok$5.00$0.12
Output $/Mtok$25.00$0.80
Coding index67.5Not benchmarked
Independent measurements behind it40
Cost per solved task$2.95Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Qwen3 Coder Next for coding?

Only Claude Opus 4.7 has a coding score, 67.5 on the Vibe Coding Index; Qwen3 Coder Next has none, so the two cannot be ranked on coding. Qwen3 Coder Next has the edge where output tokens cost 31.3x less.

Which is cheaper, Claude Opus 4.7 or Qwen3 Coder Next?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Qwen3 Coder Next costs $0.12 and $0.80. Cost per solved task is known for Claude Opus 4.7 only.

Which has the bigger context window, Claude Opus 4.7 or Qwen3 Coder Next?

Claude Opus 4.7, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.7 vs Qwen3 Coder Next comparison based on?

10 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 4 independent benchmarks and Qwen3 Coder Next's on 0. Where only one model has a result, the page says so instead of naming a winner.

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