Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Claude 3.5 Haiku vs Anthropic: Claude Sonnet 4.6 (batch) benchmark

Name: Claude 3.5 Haiku vs Anthropic: Claude Sonnet 4.6 (batch) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Haiku (Anthropic) and Anthropic: Claude Sonnet 4.6 (batch) (Anthropic) using the latest snapshots we have as of Aug 17, 2026. Claude 3.5 Haiku wins on output price at $4/1M. Anthropic: Claude Sonnet 4.6 (batch) 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

Anthropic

Anthropic: Claude Sonnet 4.6 (batch)

Auto-discovered from OpenRouter (anthropic/claude-sonnet-4.6:batch). Preview until a second source matches.

$7.5/1M 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 (8)vsAnthropic: Claude Sonnet 4.6 (batch) (1)

Claude 3.5 Haiku: 8W (89%)Overall: Claude 3.5 HaikuAnthropic: Claude Sonnet 4.6 (batch): 1W (11%)

← Claude 3.5 HaikuAnthropic: Claude Sonnet 4.6 (batch) →

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: 4WAnthropic: Claude Sonnet 4.6 (batch): 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: 2WAnthropic: Claude Sonnet 4.6 (batch): 0W

Claude 3.5 Haiku (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$7.5/1M

Input price

$0.8/1Mvs$1.5/1M

Context window

200kvs1M

Claude 3.5 Haiku: 2WAnthropic: Claude Sonnet 4.6 (batch): 1W

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 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

Claude 3.5 Haiku

$3.50/1M 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

+87%$0.80 / 1M

In $Low is better

$1.50 / 1M

Out $

Low is better

+88%$4.00 / 1M

Out $Low is better

$7.50 / 1M

Context

High is better

200k

ContextHigh is better

1M+400%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 47% 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

Anthropic: Claude Sonnet 4.6 (batch)$165.00 / mo

In: $52.5Out: $112.5

Estimated Cost Delta

Claude 3.5 Haiku is estimated to save $77.00/month ($924/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude 3.5 Haiku:Pick Claude 3.5 Haiku when you are optimizing output cost.
2
Anthropic: Claude Sonnet 4.6 (batch):Pick Anthropic: Claude Sonnet 4.6 (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatClaude 3.5 Haiku

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Sonnet 4.6 (batch)

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	Claude 3.5 Haiku	Lower output list price ($4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Anthropic: Claude Sonnet 4.6 (batch)	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

Anthropic

Anthropic: Claude Sonnet 4.6 (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$7.5/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Anthropic: Claude Sonnet 4.6 (batch)?: 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 Anthropic: Claude Sonnet 4.6 (batch)?: 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?: Claude 3.5 Haiku output tokens are $4/1M versus $7.5/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or Anthropic: Claude Sonnet 4.6 (batch)?: We do not have TTFT for both models.
Which has the larger context window?: Anthropic: Claude Sonnet 4.6 (batch) 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 Anthropic: Claude Sonnet 4.6 (batch) 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 Anthropic: Claude Sonnet 4.6 (batch) 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 Claude Opus 5 vs Claude 3.5 Haiku Claude Fable 5 vs Claude 3.5 Haiku

Claude 3.5 Haiku vs Anthropic: Claude Sonnet 4.6 (batch) benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Haiku (8)vsAnthropic: Claude Sonnet 4.6 (batch) (1)

Claude 3.5 Haiku: 8W (89%)Overall: Claude 3.5 HaikuAnthropic: Claude Sonnet 4.6 (batch): 1W (11%)

← Claude 3.5 HaikuAnthropic: Claude Sonnet 4.6 (batch) →

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: 4WAnthropic: Claude Sonnet 4.6 (batch): 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: 2WAnthropic: Claude Sonnet 4.6 (batch): 0W

Claude 3.5 Haiku (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$7.5/1M

Input price

$0.8/1Mvs$1.5/1M

Context window

200kvs1M

Claude 3.5 Haiku: 2WAnthropic: Claude Sonnet 4.6 (batch): 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatClaude 3.5 Haiku

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Sonnet 4.6 (batch)

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	Claude 3.5 Haiku	Lower output list price ($4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Anthropic: Claude Sonnet 4.6 (batch)	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 Anthropic: Claude Sonnet 4.6 (batch)?

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 Anthropic: Claude Sonnet 4.6 (batch)?

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?

Claude 3.5 Haiku output tokens are $4/1M versus $7.5/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Haiku or Anthropic: Claude Sonnet 4.6 (batch)?

We do not have TTFT for both models.

Which has the larger context window?

Anthropic: Claude Sonnet 4.6 (batch) 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 Anthropic: Claude Sonnet 4.6 (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.