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Claude Haiku 5.5 vs Claude Sonnet 4.6

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Effectively the same quality — Claude Haiku 5.5 is the cheaper way to get it.

The two are within 0.9 points overall, which is inside the range that effort settings alone move a LiveBench score, so treat them as quality-equivalent. Claude Haiku 5.5 lists 30× cheaper per blended million tokens. When quality ties, cost is the whole decision. Claude Haiku 5.5 also leads on measured cost per point of capability, at $0.0100 per point.

anthropic

Claude Haiku 5.5

Blended / 1M
$0.200
Context
1M
Released
Oct 7, 2026
Overall score
72.1
reasoningtool callingimage inputfile inputprompt caching

anthropic

Claude Sonnet 4.6

Blended / 1M
$6.00
Context
1M
Released
Feb 17, 2026
Overall score
73.0
reasoningtool callingimage inputfile inputprompt caching

Specs and pricing

MetricClaude Haiku 5.5Claude Sonnet 4.6
LiveBench overall

Mean of the seven LiveBench category scores, 0–100. Higher is better.

72.173.0
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

$0.0100win$0.1561
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

$0.200win$6.00
Input price / 1M$0.100win$3.00
Output price / 1M$0.500win$15.00
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

$0.010win$0.300
Context window1M1M
Max output tokens128K128K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Claude Haiku 5.5 on top, Claude Sonnet 4.6 below, both out of 100.

Agentic coding
51.4
42.6
Coding
76.4
79.3
Reasoning
81.2
84.8
Mathematics
92.8
87.0
Data analysis
72.8
77.9
Language
63.5
76.1
Instruction following
66.5
63.2

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadClaude Haiku 5.5Claude Sonnet 4.6
Support chatbot

1.2K in / 400 out × 200K requests

$57.52/mo$1,726/mo
RAG assistant

8K in / 600 out × 100K requests

$74.00/mo$2,220/mo
Coding agent

40K in / 4K out × 20K requests

$69.60/mo$2,088/mo
Document extraction

20K in / 1.5K out × 50K requests

$133.00/mo$3,990/mo
Bulk classification

500 in / 20 out × 5M requests

$255.00/mo$7,650/mo
Run these two through the cost calculator

Which should you pick?

You are running this at volume

Claude Haiku 5.5

Lowest measured cost per point of capability at $0.0100 per point — the gap compounds with every request.

The workload is coding or agentic work

Claude Haiku 5.5

Leads on agentic coding — 51.4 against 42.6.

Claude Haiku 5.5 vs Claude Sonnet 4.6 FAQ

Which is better, Claude Haiku 5.5 or Claude Sonnet 4.6?

Effectively the same quality — Claude Haiku 5.5 is the cheaper way to get it. The two are within 0.9 points overall, which is inside the range that effort settings alone move a LiveBench score, so treat them as quality-equivalent. Claude Haiku 5.5 lists 30× cheaper per blended million tokens. When quality ties, cost is the whole decision. Claude Haiku 5.5 also leads on measured cost per point of capability, at $0.0100 per point.

Is Claude Haiku 5.5 cheaper than Claude Sonnet 4.6?

Claude Haiku 5.5 is cheaper. On a 3:1 input:output blend, Claude Haiku 5.5 lists at $0.200 per million tokens and Claude Sonnet 4.6 at $6.00 — Claude Haiku 5.5 is 30× cheaper. Input and output are priced separately — Claude Haiku 5.5 charges $0.100 in and $0.500 out, Claude Sonnet 4.6 charges $3.00 and $15.00 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Claude Haiku 5.5 vs Claude Sonnet 4.6: which scores higher on benchmarks?

Claude Haiku 5.5 scores 72.1 and Claude Sonnet 4.6 scores 73.0 overall on LiveBench, the mean of its seven categories. That gap is inside the range that effort settings alone move a score, so treat them as equivalent on published quality. Category scores differ from the overall figure — a model can lead on reasoning and trail on coding, which the per-category table above breaks out.

Which gives better value for money, Claude Haiku 5.5 or Claude Sonnet 4.6?

Claude Haiku 5.5. Cost per point divides the measured dollars LiveBench spent running the benchmark by the score it earned, so it captures something token pricing misses: a reasoning model can emit many times more tokens than its per-token rate suggests. Claude Haiku 5.5 works out at $0.0100 per point and Claude Sonnet 4.6 at $0.1561.

Does Claude Haiku 5.5 or Claude Sonnet 4.6 have a bigger context window?

They are effectively the same — 1M for Claude Haiku 5.5 and 1M for Claude Sonnet 4.6.

Do Claude Haiku 5.5 and Claude Sonnet 4.6 support prompt caching?

Both publish a cached-input rate: $0.010 per million for Claude Haiku 5.5 and $0.300 for Claude Sonnet 4.6, against full input rates of $0.100 and $3.00. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores — LiveBench release 2026-06-25, using their own category map. Each model shows its strongest published run. A blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.