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Claude Haiku 4.5 vs Qwen3.8 Flash

Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Haiku 4.5Anthropic
Coding
49.8
Overall
16.9
Output $/M
$5.00
0
Qwen3.8 FlashQwen
Coding
87.4
Overall
No data
Output $/M
$0.47
7
vs boards won of 7 shared

Decision reading

Pick Qwen3.8 Flash for coding: it scores 87.4 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 1 benchmark against 3.

Claude Haiku 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Shared results
7
Claude Haiku 4.5 only
87
Qwen3.8 Flash only
0
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 Haiku 4.5 49.8 from 3 benchmarks, Qwen3.8 Flash 87.4 from 1 benchmark.
Widest category
Coding, 39.3 points apart on average over 1 shared benchmark.
Widest single gap
LiveBench coding: Claude Haiku 4.5 48.1% against Qwen3.8 Flash 87.4%, 39.3 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against Qwen3.8 Flash $0.47 per million output tokens, 10.6x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, Qwen3.8 Flash 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.

Boards won, where both have a result
CategoryClaude Haiku 4.5BarsQwen3.8 FlashTies
Coding01
Agentic work03
Reasoning01
Web design01
General01
All shared boards07
CodingLike-for-likeFour of these boards feed the Vibe Coding Index01
Coding benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%87.4%Qwen3.8 Flash
LMArena WebDev1330Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Vibe Code Bench (Vals AI)11.4%Not measuredOnly Claude Haiku 4.5 measured
Code migration (Vals AI)7.5%Not measuredOnly Claude Haiku 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: coding1454Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: software and IT1439Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
AA Intelligence Index16.9Not measuredOnly Claude Haiku 4.5 measured
Epoch Capabilities Index142.2Not measuredOnly Claude Haiku 4.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index03
Agentic work benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%74.6%Qwen3.8 Flash
LiveBench browser40.0%48.0%Qwen3.8 Flash
LiveBench long agentic11.1%37.1%Qwen3.8 Flash
Finance Agent (Vals AI)31.0%Not measuredOnly Claude Haiku 4.5 measured
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly Claude Haiku 4.5 measured
Excel Modeling Benchmark (Vals AI)22.7%Not measuredOnly Claude Haiku 4.5 measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
GPQA Diamond72.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench reasoning61.7%87.4%Qwen3.8 Flash
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: expert1443Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts in English1435Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%Not measuredOnly Claude Haiku 4.5 measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math1398Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: mathematical work1430Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
MMLU Pro78.7%Not measuredOnly Claude Haiku 4.5 measured
LegalBench (Vals AI)81.2%Not measuredOnly Claude Haiku 4.5 measured
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%Not measuredOnly Claude Haiku 4.5 measured
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science1406Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: medicine and healthcare1394Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: legal and government1400Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: business and finance1400Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index01
Web design benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
Design Arena: websites1122Not measuredOnly Claude Haiku 4.5 measured
Design Arena: UI components1100Not measuredOnly Claude Haiku 4.5 measured
Design Arena: game dev1097Not measuredOnly Claude Haiku 4.5 measured
Design Arena: data viz1124Not measuredOnly Claude Haiku 4.5 measured
Design Arena: 3D1072Not measuredOnly Claude Haiku 4.5 measured
Design Arena: all code categories1115Not measuredOnly Claude Haiku 4.5 measured
Design Arena: SVG1025Not measuredOnly Claude Haiku 4.5 measured
Design Arena: ASCII art1139Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%72.8%Qwen3.8 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
LiveBench data analysis59.3%74.2%Qwen3.8 Flash
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
DTBench73.6%Not measuredOnly Claude Haiku 4.5 measured
LMCA30.9%Not measuredOnly Claude Haiku 4.5 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text1397Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: instruction following1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: creative writing1371Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: English1414Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: non-English1377Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Chinese1418Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: German1374Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Japanese1338Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Korean1346Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: French1411Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Spanish1421Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Russian1381Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: Polish1343Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: multi-turn1409Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: longer queries1427Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: writing and language1386Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: entertainment and media1369Not measuredOnly Claude Haiku 4.5 measured
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 20 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 4.5 and Qwen3.8 Flash
BenchmarkClaude Haiku 4.5Qwen3.8 FlashLeader
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 4.5$0.0035Fits in one request
Qwen3.8 Flash$0.0004Fits in one request

Qwen3.8 Flash costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
Qwen3.8 Flash$0.0089Fits in one request

Qwen3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
Qwen3.8 Flash$0.035Fits in one request

Qwen3.8 Flash 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 4.5 and Qwen3.8 Flash
SpecificationAnthropic Claude Haiku 4.5Qwen3.8 Flash
MakerAnthropicQwen
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025August 26, 2026
Context window200K1M
Input $/Mtok$1.00$0.15
Output $/Mtok$5.00$0.47
Coding index49.887.4
Independent measurements behind it31
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than Qwen3.8 Flash for coding?

Pick Qwen3.8 Flash for coding: it scores 87.4 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 1 benchmark against 3. Claude Haiku 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Which is cheaper, Claude Haiku 4.5 or Qwen3.8 Flash?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; Qwen3.8 Flash costs $0.15 and $0.47. Cost per solved task is known for Claude Haiku 4.5 only.

Which has the bigger context window, Claude Haiku 4.5 or Qwen3.8 Flash?

Qwen3.8 Flash, with 1M tokens against 200K.

How many benchmarks is the Claude Haiku 4.5 vs Qwen3.8 Flash comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 3 independent benchmarks and Qwen3.8 Flash's on 1. Where only one model has a result, the page says so instead of naming a winner.

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