Pairwise benchmark snapshot · Aug 17, 2026

Claude 3.5 Haiku vs Claude 3.5 Sonnet benchmark

Name: Claude 3.5 Haiku vs Claude 3.5 Sonnet AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Haiku (Anthropic) and Claude 3.5 Sonnet (Anthropic) using the latest snapshots we have as of Aug 17, 2026. On preference Elo, Claude 3.5 Sonnet is ahead by 56 points (1,280 vs 1,224; lmarena (Aug 17, 2026)). On SWE-bench coding, Claude 3.5 Sonnet resolves 49% versus 36.2% (swebench (Aug 17, 2026)). Claude 3.5 Haiku streams faster (140 tok/s) while Claude 3.5 Haiku is the cheaper output token ($4/1M). Claude 3.5 Haiku has the larger context window (200k 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

Anthropic

Claude 3.5 Sonnet

2024 workhorse. Still a high-intent compare against GPT-4o.

Elo 1,280$15/1M 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 (4)vsClaude 3.5 Sonnet (4)

Claude 3.5 Haiku: 4W (50%)Overall: Even matchupClaude 3.5 Sonnet: 4W (50%)

← Claude 3.5 Haiku1 tiesClaude 3.5 Sonnet →

Claude 3.5 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,224vs1,280

Coding Elo

—vs—

SWE-bench

36.2%vs49%

LiveBench

44.8%vs52.1%

GPQA Diamond

54.1%vs65%

Claude 3.5 Haiku: 0WClaude 3.5 Sonnet: 4W

Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs80 tok/s

Time to first token

110 msvs280 ms

Claude 3.5 Haiku: 2WClaude 3.5 Sonnet: 0W

Claude 3.5 Haiku (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$15/1M

Input price

$0.8/1Mvs$3/1M

Context window

200kvs200k

Claude 3.5 Haiku: 2WClaude 3.5 Sonnet: 0W

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 Sonnet 3/6

Preference Elo

Claude 3.5 Sonnet

56 pts advantage

Throughput Speed

Claude 3.5 Haiku

60 tok/s faster

Token Price Efficiency

Claude 3.5 Haiku

$11.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,224

EloHigh is better

1,280+5%

LiveBench

High is better

44.8%

LiveBenchHigh is better

52.1%+16%

SWE-bench

High is better

36.2%

SWE-benchHigh is better

49%+35%

GPQA

High is better

54.1%

GPQAHigh is better

65%+20%

TTFT

Low is better

+155%110 ms

TTFTLow is better

280 ms

Speed

High is better

+75%140 tok/s

SpeedHigh is better

80 tok/s

In $

Low is better

+275%$0.80 / 1M

In $Low is better

$3.00 / 1M

Out $

Low is better

+275%$4.00 / 1M

Out $Low is better

$15.00 / 1M

Context

High is better

200k

ContextHigh is better

200k

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 73% with Claude 3.5 Haiku

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: $28Out: $60

Claude 3.5 Sonnet$330.00 / mo

In: $105Out: $225

Estimated Cost Delta

Claude 3.5 Haiku is estimated to save $242.00/month ($2,904/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude 3.5 Sonnet:Pick Claude 3.5 Sonnet when repo-level coding accuracy is the constraint.
2
Claude 3.5 Haiku:Pick Claude 3.5 Haiku when you are optimizing output cost.
3
Claude 3.5 Haiku:Pick Claude 3.5 Haiku when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude 3.5 Sonnet

Higher SWE-bench (49%).

High-volume chatClaude 3.5 Haiku

Lower output list price ($4/1M).

Voice / low-latency UIClaude 3.5 Haiku

Lower TTFT (110 ms).

Long-document RAGClaude 3.5 Haiku

Larger window (200k).

Screenshots / visionClaude 3.5 Sonnet

Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude 3.5 Sonnet	Higher SWE-bench (49%).
High-volume chat	Claude 3.5 Haiku	Lower output list price ($4/1M).
Voice / low-latency UI	Claude 3.5 Haiku	Lower TTFT (110 ms).
Long-document RAG	Claude 3.5 Haiku	Larger window (200k).
Screenshots / vision	Claude 3.5 Sonnet	Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

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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

Anthropic

Claude 3.5 Sonnet

Elo 1,280

LiveBench52.1%

SWE-bench49%

Speed80 tok/s

Output cost$15/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Claude 3.5 Sonnet?: Claude 3.5 Sonnet has the higher preference Elo in our latest snapshot (1,280). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Haiku or Claude 3.5 Sonnet?: Claude 3.5 Sonnet leads SWE-bench at 49% vs 36.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Claude 3.5 Haiku output tokens are $4/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or Claude 3.5 Sonnet?: Claude 3.5 Haiku has the lower time-to-first-token (110 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude 3.5 Haiku accepts 200k 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 Claude 3.5 Sonnet 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 Claude 3.5 Sonnet matchups →

Claude 3.5 Haiku vs Claude Haiku 4.5 (next haiku)Claude 3.5 Sonnet vs Claude 3.7 Sonnet (next sonnet)Claude Opus 4.5 vs Claude 3.5 Sonnet Claude Opus 4.6 vs Claude 3.5 Sonnet Claude Sonnet 4.5 vs Claude 3.5 Sonnet Claude Opus 5 vs Claude 3.5 Sonnet

Claude 3.5 Haiku vs Claude 3.5 Sonnet benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Haiku (4)vsClaude 3.5 Sonnet (4)

Claude 3.5 Haiku: 4W (50%)Overall: Even matchupClaude 3.5 Sonnet: 4W (50%)

← Claude 3.5 Haiku1 tiesClaude 3.5 Sonnet →

Claude 3.5 Sonnet (4/5)

Intelligence & Reasoning

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

Preference Elo

1,224vs1,280

Coding Elo

—vs—

SWE-bench

36.2%vs49%

LiveBench

44.8%vs52.1%

GPQA Diamond

54.1%vs65%

Claude 3.5 Haiku: 0WClaude 3.5 Sonnet: 4W

Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs80 tok/s

Time to first token

110 msvs280 ms

Claude 3.5 Haiku: 2WClaude 3.5 Sonnet: 0W

Claude 3.5 Haiku (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$15/1M

Input price

$0.8/1Mvs$3/1M

Context window

200kvs200k

Claude 3.5 Haiku: 2WClaude 3.5 Sonnet: 0W

Recommended Workload Routing

Repo / coding agentsClaude 3.5 Sonnet

Higher SWE-bench (49%).

High-volume chatClaude 3.5 Haiku

Lower output list price ($4/1M).

Voice / low-latency UIClaude 3.5 Haiku

Lower TTFT (110 ms).

Long-document RAGClaude 3.5 Haiku

Larger window (200k).

Screenshots / visionClaude 3.5 Sonnet

Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude 3.5 Sonnet	Higher SWE-bench (49%).
High-volume chat	Claude 3.5 Haiku	Lower output list price ($4/1M).
Voice / low-latency UI	Claude 3.5 Haiku	Lower TTFT (110 ms).
Long-document RAG	Claude 3.5 Haiku	Larger window (200k).
Screenshots / vision	Claude 3.5 Sonnet	Both accept images. Defaulting to the higher-Elo side (Claude 3.5 Sonnet).

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Claude 3.5 Sonnet?

Claude 3.5 Sonnet has the higher preference Elo in our latest snapshot (1,280). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude 3.5 Haiku or Claude 3.5 Sonnet?

Claude 3.5 Sonnet leads SWE-bench at 49% vs 36.2%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Claude 3.5 Haiku output tokens are $4/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Haiku or Claude 3.5 Sonnet?

Claude 3.5 Haiku has the lower time-to-first-token (110 ms vs 280 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude 3.5 Haiku accepts 200k 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 Claude 3.5 Sonnet Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.