Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Claude 3.5 Haiku vs Qwen: Qwen3.5-Flash benchmark

Name: Claude 3.5 Haiku vs Qwen: Qwen3.5-Flash AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Haiku (Anthropic) and Qwen: Qwen3.5-Flash (Alibaba) using the latest snapshots we have as of Aug 16, 2026. Qwen: Qwen3.5-Flash wins on output price at $0.26/1M. Qwen: Qwen3.5-Flash has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude 3.5 Haiku

Previous cheap Claude. Haiku 4.5 is the current $1/$5 SKU.

Elo 1,224$4/1M out

Alibaba

Qwen: Qwen3.5-Flash

Auto-discovered from OpenRouter (qwen/qwen3.5-flash-02-23). Preview until a second source matches.

$0.26/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Haiku (6)vsQwen: Qwen3.5-Flash (3)

Claude 3.5 Haiku: 6W (67%)Overall: Claude 3.5 HaikuQwen: Qwen3.5-Flash: 3W (33%)

← Claude 3.5 HaikuQwen: Qwen3.5-Flash →

Claude 3.5 Haiku (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,224vs—

Coding Elo

—vs—

SWE-bench

36.2%vs—

LiveBench

44.8%vs—

GPQA Diamond

54.1%vs—

Claude 3.5 Haiku: 4WQwen: Qwen3.5-Flash: 0W

Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs—

Time to first token

110 msvs—

Claude 3.5 Haiku: 2WQwen: Qwen3.5-Flash: 0W

Qwen: Qwen3.5-Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$0.26/1M

Input price

$0.8/1Mvs$0.07/1M

Context window

200kvs1M

Claude 3.5 Haiku: 0WQwen: Qwen3.5-Flash: 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude 3.5 Haiku 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Qwen: Qwen3.5-Flash

$3.74/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,224

EloHigh is better

—

LiveBench

High is better

44.8%

LiveBenchHigh is better

—

SWE-bench

High is better

36.2%

SWE-benchHigh is better

—

GPQA

High is better

54.1%

GPQAHigh is better

—

TTFT

Low is better

110 ms

TTFTLow is better

—

Speed

High is better

140 tok/s

SpeedHigh is better

—

In $

Low is better

$0.8/1M

In $Low is better

$0.07/1M+1131%

Out $

Low is better

$4/1M

Out $Low is better

$0.26/1M+1438%

Context

High is better

200k

ContextHigh is better

1M+400%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 93% with Qwen: Qwen3.5-Flash

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Claude 3.5 Haiku$88.00 / mo

In: $28.00Out: $60.00

Qwen: Qwen3.5-Flash$6.18 / mo

In: $2.27Out: $3.90

Estimated Cost Delta

Qwen: Qwen3.5-Flash is estimated to save $81.83/month ($982/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Qwen: Qwen3.5-Flash:Pick Qwen: Qwen3.5-Flash when you are optimizing output cost.
2
Qwen: Qwen3.5-Flash:Pick Qwen: Qwen3.5-Flash for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.5-Flash

Lower output list price ($0.26/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.5-Flash

Larger window (1M).

Screenshots / visionClaude 3.5 Haiku

Claude 3.5 Haiku is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3.5-Flash	Lower output list price ($0.26/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.5-Flash	Larger window (1M).
Screenshots / vision	Claude 3.5 Haiku	Claude 3.5 Haiku is the side marked multimodal in the catalog.

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CompareLLM Matrix

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LIVE

Anthropic

Claude 3.5 Haiku

Elo 1,224

LiveBench44.8%

SWE-bench36.2%

Speed140 tok/s

Output cost$4/1M

Alibaba

Qwen: Qwen3.5-Flash

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$0.26/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Qwen: Qwen3.5-Flash?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Claude 3.5 Haiku or Qwen: Qwen3.5-Flash?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Qwen: Qwen3.5-Flash output tokens are $0.26/1M versus $4/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or Qwen: Qwen3.5-Flash?: We do not have TTFT for both models.
Which has the larger context window?: Qwen: Qwen3.5-Flash accepts 1M tokens versus 200k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude 3.5 Haiku and Qwen: Qwen3.5-Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude 3.5 Haiku matchups →|All Qwen: Qwen3.5-Flash matchups →

Claude 3.5 Haiku vs Claude Haiku 4.5 (next haiku)Claude Opus 4.5 vs Claude 3.5 Haiku Claude Opus 4.6 vs Claude 3.5 Haiku Claude Sonnet 4.5 vs Claude 3.5 Haiku Qwen 3 Max vs Claude 3.5 Haiku Claude Opus 5 vs Claude 3.5 Haiku

Claude 3.5 Haiku vs Qwen: Qwen3.5-Flash benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Haiku (6)vsQwen: Qwen3.5-Flash (3)

Claude 3.5 Haiku: 6W (67%)Overall: Claude 3.5 HaikuQwen: Qwen3.5-Flash: 3W (33%)

← Claude 3.5 HaikuQwen: Qwen3.5-Flash →

Claude 3.5 Haiku (4/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,224vs—

Coding Elo

—vs—

SWE-bench

36.2%vs—

LiveBench

44.8%vs—

GPQA Diamond

54.1%vs—

Claude 3.5 Haiku: 4WQwen: Qwen3.5-Flash: 0W

Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs—

Time to first token

110 msvs—

Claude 3.5 Haiku: 2WQwen: Qwen3.5-Flash: 0W

Qwen: Qwen3.5-Flash (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$0.26/1M

Input price

$0.8/1Mvs$0.07/1M

Context window

200kvs1M

Claude 3.5 Haiku: 0WQwen: Qwen3.5-Flash: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatQwen: Qwen3.5-Flash

Lower output list price ($0.26/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGQwen: Qwen3.5-Flash

Larger window (1M).

Screenshots / visionClaude 3.5 Haiku

Claude 3.5 Haiku is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Qwen: Qwen3.5-Flash	Lower output list price ($0.26/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Qwen: Qwen3.5-Flash	Larger window (1M).
Screenshots / vision	Claude 3.5 Haiku	Claude 3.5 Haiku is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Qwen: Qwen3.5-Flash?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Claude 3.5 Haiku or Qwen: Qwen3.5-Flash?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Qwen: Qwen3.5-Flash output tokens are $0.26/1M versus $4/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Haiku or Qwen: Qwen3.5-Flash?

We do not have TTFT for both models.

Which has the larger context window?

Qwen: Qwen3.5-Flash accepts 1M tokens versus 200k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude 3.5 Haiku and Qwen: Qwen3.5-Flash Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.