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Claude Haiku 5.5 vs Qwen3 235B A22B Instruct 2507

Claude Haiku 5.5 leads Qwen3 235B A22B Instruct 2507 on the Artificial Analysis Intelligence Index, 43.4 to 12.0, and Claude Haiku 5.5 costs 1.6x less per output token ($0.50 vs $0.775 per million). Updated October 22, 2026; 14 benchmarks have a result for both.

Claude Haiku 5.5Anthropic
Coding
70.7
Overall
67.6
Output $/M
$0.50
14
Qwen3 235B A22B Instruct 2507Qwen
Coding
No data
Overall
No data
Output $/M
$0.775
0
vs boards won of 14 shared

Claude Haiku 5.5 or Qwen3 235B A22B Instruct 2507: which to pick

Only Claude Haiku 5.5 has a coding score, 70.7 on the Vibe Coding Index; Qwen3 235B A22B Instruct 2507 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
14
Claude Haiku 5.5 only
51
Qwen3 235B A22B Instruct 2507 only
10
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 Haiku 5.5 70.7 from 5 benchmarks, Qwen3 235B A22B Instruct 2507 not benchmarked.
Widest category
Reasoning, 55.5 points apart on average over 3 shared benchmarks.
Widest single gap
ARC-AGI: Claude Haiku 5.5 89.0% against Qwen3 235B A22B Instruct 2507 11.0%, 78.0 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against Qwen3 235B A22B Instruct 2507 $0.775 per million output tokens, 1.6x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, Qwen3 235B A22B Instruct 2507 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 Haiku 5.5BarsQwen3 235B A22B Instruct 2507Ties
Coding10
Intelligence10
Reasoning30
Web design60
General30
All shared boards140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev1586Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench 4 (Vals AI)36.4%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench (Vals AI)90.4%Not measuredOnly Claude Haiku 5.5 measured
Code migration (Vals AI)44.6%Not measuredOnly Claude Haiku 5.5 measured
ProgramBench (Vals AI)2.5%Not measuredOnly Claude Haiku 5.5 measured
IOI (Vals AI)47.3%Not measuredOnly Claude Haiku 5.5 measured
SWE-bench Multimodal (Vals AI)44.0%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench 1-100 (Vals AI)20.4%Not measuredOnly Claude Haiku 5.5 measured
CyberBench (Vals AI)75.5%Not measuredOnly Claude Haiku 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured78.8%Only Qwen3 235B A22B Instruct 2507 measured
SciCode55.0%41.4%Claude Haiku 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only Qwen3 235B A22B Instruct 2507 measured
FrontierCode46.4%Not measuredOnly Claude Haiku 5.5 measured
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
WeirdMLNot measured38.7%Only Qwen3 235B A22B Instruct 2507 measured
LMArena WebDev: React1605Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev: HTML1569Not measuredOnly Claude Haiku 5.5 measured
SciCode9.2%Not measuredOnly Claude Haiku 5.5 measured
SWE-Bench Pro V287.2%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
AA Intelligence Index43.412.0Claude Haiku 5.5
Epoch Capabilities Index159.3Not measuredOnly Claude Haiku 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Agentic work benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
LiveBench research81.9%Not measuredOnly Claude Haiku 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Haiku 5.5 measured
LiveBench long agentic57.6%Not measuredOnly Claude Haiku 5.5 measured
SREBench (Vals AI)5.7%Not measuredOnly Claude Haiku 5.5 measured
Finance Agent (Vals AI)54.1%Not measuredOnly Claude Haiku 5.5 measured
Tax Agent Bench (Vals AI)31.9%Not measuredOnly Claude Haiku 5.5 measured
Legal Research Bench (Vals AI)43.3%Not measuredOnly Claude Haiku 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly Claude Haiku 5.5 measured
Excel Modeling Benchmark (Vals AI)59.0%Not measuredOnly Claude Haiku 5.5 measured
BioMysteryBench (Vals AI)70.4%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly Claude Haiku 5.5 measured
Vals Science Index38.5%Not measuredOnly Claude Haiku 5.5 measured
τ²-Bench TelecomNot measured53.2%Only Qwen3 235B A22B Instruct 2507 measured
APEX-Agents56.1%Not measuredOnly Claude Haiku 5.5 measured
Vending-Bench 2$3,602Not measuredOnly Claude Haiku 5.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured52.1%Only Qwen3 235B A22B Instruct 2507 measured
Neither model has a result on the other 26 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
Reasoning benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
LiveBench reasoning82.4%Not measuredOnly Claude Haiku 5.5 measured
MysteryMechanism (Vals AI)35.1%Not measuredOnly Claude Haiku 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured79.0%Only Qwen3 235B A22B Instruct 2507 measured
Humanity's Last Exam (Artificial Analysis run)44.4%15.9%Claude Haiku 5.5
GPQA Diamond (Epoch AI run)89.6%Not measuredOnly Claude Haiku 5.5 measured
ARC-AGI89.0%11.0%Claude Haiku 5.5
ARC-AGI-261.3%1.3%Claude Haiku 5.5
Chess puzzles55.0%Not measuredOnly Claude Haiku 5.5 measured
Mystery game puzzles30.0%Not measuredOnly Claude Haiku 5.5 measured
EBR-bench43.8%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 13 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
AA Math IndexNot measured91.0Only Qwen3 235B A22B Instruct 2507 measured
AIME 2025 (Artificial Analysis run)Not measured91.0%Only Qwen3 235B A22B Instruct 2507 measured
OTIS Mock AIME98.9%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tiers 1 to 375.1%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tier 446.3%Not measuredOnly Claude Haiku 5.5 measured
ProofBench89.0%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Knowledge benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
MedCode (Vals AI)51.5%Not measuredOnly Claude Haiku 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured84.3%Only Qwen3 235B A22B Instruct 2507 measured
SimpleQA Verified23.8%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 17 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
Design Arena: websites12621058Claude Haiku 5.5
Design Arena: UI components1283963Claude Haiku 5.5
Design Arena: game dev1315951Claude Haiku 5.5
Design Arena: data viz12971070Claude Haiku 5.5
Design Arena: 3D1342994Claude Haiku 5.5
Design Arena: all code categories12781038Claude Haiku 5.5
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
General benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
Vals Index58.7%Not measuredOnly Claude Haiku 5.5 measured
LiveBench data analysis53.1%Not measuredOnly Claude Haiku 5.5 measured
Public Benefits Bench (Vals AI)63.2%Not measuredOnly Claude Haiku 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Haiku 5.5 measured
MedScribe (Vals AI)89.5%Not measuredOnly Claude Haiku 5.5 measured
IFBenchNot measured51.2%Only Qwen3 235B A22B Instruct 2507 measured
Long context reasoning (AA-LCR)82.7%72.0%Claude Haiku 5.5
DTBench95.0%78.4%Claude Haiku 5.5
LMCA51.1%23.5%Claude Haiku 5.5
Furniture assembly47.5%Not measuredOnly Claude Haiku 5.5 measured
MultiChallenge67.7%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 37 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 5.5 and Qwen3 235B A22B Instruct 2507
BenchmarkClaude Haiku 5.5Qwen3 235B A22B Instruct 2507Leader
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 Haiku 5.5$0.0003Fits in one request
Qwen3 235B A22B Instruct 2507$0.0005Fits in one request

Claude Haiku 5.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 5.5$0.0065Fits in one request
Qwen3 235B A22B Instruct 2507$0.0096Fits in one request

Claude Haiku 5.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 5.5$0.025Fits in one request
Qwen3 235B A22B Instruct 2507$0.037Fits in one request

Claude Haiku 5.5 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 Haiku 5.5 and Qwen3 235B A22B Instruct 2507
SpecificationAnthropic Claude Haiku 5.5Qwen3 235B A22B Instruct 2507
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026July 21, 2025
Context window1M262K
Input $/Mtok$0.10$0.145
Output $/Mtok$0.50$0.775
Coding index70.7Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than Qwen3 235B A22B Instruct 2507 for coding?

Only Claude Haiku 5.5 has a coding score, 70.7 on the Vibe Coding Index; Qwen3 235B A22B Instruct 2507 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Claude Haiku 5.5 or Qwen3 235B A22B Instruct 2507?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 235B A22B Instruct 2507 costs $0.145 and $0.775. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Haiku 5.5 or Qwen3 235B A22B Instruct 2507?

Claude Haiku 5.5, with 1M tokens against 262K.

How many benchmarks is the Claude Haiku 5.5 vs Qwen3 235B A22B Instruct 2507 comparison based on?

14 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 5.5's coding index rests on 5 independent benchmarks and Qwen3 235B A22B Instruct 2507's on 0. Where only one model has a result, the page says so instead of naming a winner.

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