Pairwise benchmark snapshot · Aug 16, 2026

Claude 3.5 Haiku vs Claude Opus 4.6 benchmark

Name: Claude 3.5 Haiku vs Claude Opus 4.6 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude 3.5 Haiku (Anthropic) and Claude Opus 4.6 (Anthropic) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.6 is ahead by 350 points (1,574 vs 1,224; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4.6 resolves 75.9% versus 36.2% (seed-bootstrap (Aug 1, 2026)). Claude 3.5 Haiku streams faster (140 tok/s) while Claude 3.5 Haiku is the cheaper output token ($4/1M). Claude Opus 4.6 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

Claude Opus 4.6

Follow-on Opus release. Slightly behind 4.5 on official SWE-bench bash-only in the last published sweep; stronger long-horizon agent traces.

Elo 1,574$25/1M out

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Quick vs:vs Claude Opus 4.5 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude 3.5 Haiku (4)vsClaude Opus 4.6 (6)

Claude 3.5 Haiku: 4W (40%)Overall: Claude Opus 4.6Claude Opus 4.6: 6W (60%)

← Claude 3.5 HaikuClaude Opus 4.6 →

Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,224vs1,574

Coding Elo

—vs1,570

SWE-bench

36.2%vs75.9%

LiveBench

44.8%vs72%

GPQA Diamond

54.1%vs84.8%

Claude 3.5 Haiku: 0WClaude Opus 4.6: 5W

Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs64 tok/s

Time to first token

110 msvs360 ms

Claude 3.5 Haiku: 2WClaude Opus 4.6: 0W

Claude 3.5 Haiku (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$25/1M

Input price

$0.8/1Mvs$5/1M

Context window

200kvs1M

Claude 3.5 Haiku: 2WClaude Opus 4.6: 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 Opus 4.6 4/6

Preference Elo

Claude Opus 4.6

350 pts advantage

Throughput Speed

Claude 3.5 Haiku

76 tok/s faster

Price Efficiency

Claude 3.5 Haiku

$21.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,224

EloHigh is better

1,574+29%

Code Elo

High is better

—

Code EloHigh is better

1,570

LiveBench

High is better

44.8%

LiveBenchHigh is better

72%+61%

SWE-bench

High is better

36.2%

SWE-benchHigh is better

75.9%+110%

GPQA

High is better

54.1%

GPQAHigh is better

84.8%+57%

TTFT

Low is better

+227%110 ms

TTFTLow is better

360 ms

Speed

High is better

+119%140 tok/s

SpeedHigh is better

64 tok/s

In $

Low is better

+525%$0.8/1M

In $Low is better

$5/1M

Out $

Low is better

+525%$4/1M

Out $Low is better

$25/1M

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 84% 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: $28.00Out: $60.00

Claude Opus 4.6$550.00 / mo

In: $175.00Out: $375.00

Estimated Cost Delta

Claude 3.5 Haiku is estimated to save $462.00/month ($5,544/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.6:Pick Claude Opus 4.6 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 Opus 4.6

Higher SWE-bench (75.9%).

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 Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.6).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.6	Higher SWE-bench (75.9%).
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 Opus 4.6	Larger window (1M).
Screenshots / vision	Claude Opus 4.6	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.6).

Related Editorial Dispatches & Benchmark Notes

View all news

launchMay 10, 2026

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Slightly behind 4.5 on one official SWE-bench sweep; stronger long-horizon traces. We keep the row for old vs URLs.

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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 Opus 4.6

Elo 1,574

LiveBench72%

SWE-bench75.9%

Speed64 tok/s

Output cost$25/1M

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Claude Opus 4.6?: Claude Opus 4.6 has the higher preference Elo in our latest snapshot (1,574). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude 3.5 Haiku or Claude Opus 4.6?: Claude Opus 4.6 leads SWE-bench at 75.9% 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 $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude 3.5 Haiku or Claude Opus 4.6?: Claude 3.5 Haiku has the lower time-to-first-token (110 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Claude Opus 4.6 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 Claude Opus 4.6 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 Opus 4.6 matchups →

Claude 3.5 Haiku vs Claude Haiku 4.5 (next haiku)Claude Opus 4.6 vs Claude Opus 4.5 (previous opus)Claude Opus 4.6 vs Claude Opus 4.8 (next opus)Claude Sonnet 4.5 vs Claude Opus 4.6 Claude Opus 5 vs Claude Opus 4.6 Claude Fable 5 vs Claude Opus 4.6

Claude 3.5 Haiku vs Claude Opus 4.6 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 Opus 4.6 (6)

Claude 3.5 Haiku: 4W (40%)Overall: Claude Opus 4.6Claude Opus 4.6: 6W (60%)

← Claude 3.5 HaikuClaude Opus 4.6 →

Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,224vs1,574

Coding Elo

—vs1,570

SWE-bench

36.2%vs75.9%

LiveBench

44.8%vs72%

GPQA Diamond

54.1%vs84.8%

Claude 3.5 Haiku: 0WClaude Opus 4.6: 5W

Claude 3.5 Haiku (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

140 tok/svs64 tok/s

Time to first token

110 msvs360 ms

Claude 3.5 Haiku: 2WClaude Opus 4.6: 0W

Claude 3.5 Haiku (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs$25/1M

Input price

$0.8/1Mvs$5/1M

Context window

200kvs1M

Claude 3.5 Haiku: 2WClaude Opus 4.6: 1W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.6

Higher SWE-bench (75.9%).

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 Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.6).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4.6	Higher SWE-bench (75.9%).
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 Opus 4.6	Larger window (1M).
Screenshots / vision	Claude Opus 4.6	Both accept images. Defaulting to the higher-Elo side (Claude Opus 4.6).

Frequently Asked Questions

Which is better overall, Claude 3.5 Haiku or Claude Opus 4.6?

Claude Opus 4.6 has the higher preference Elo in our latest snapshot (1,574). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude 3.5 Haiku or Claude Opus 4.6?

Claude Opus 4.6 leads SWE-bench at 75.9% 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 $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude 3.5 Haiku or Claude Opus 4.6?

Claude 3.5 Haiku has the lower time-to-first-token (110 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Claude Opus 4.6 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 Claude Opus 4.6 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Claude Opus 4.6

Claude 3.5 Haiku

Claude 3.5 Haiku

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

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CompareLLM Matrix

Claude 3.5 Haiku

Claude Opus 4.6

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

Claude Opus 4.6

Claude 3.5 Haiku

Claude 3.5 Haiku

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude 3.5 Haiku

Claude Opus 4.6

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons