// head_to_head

Claude Opus 5.5 vs Lyria 3 Clip Preview

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

Lyria 3 Clip Preview is the cheaper of the two; neither can be ranked on quality here.

Lyria 3 Clip Preview does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

anthropic

Claude Opus 5.5

Blended / 1M
$8.00
Context
1M
Released
Sep 22, 2026
Overall score
83.2
reasoningtool callingimage inputfile inputprompt caching

google

Lyria 3 Clip Preview

Blended / 1M
Free
Context
1.0M
Released
Mar 30, 2026
Overall score
Not evaluated
image input

Specs and pricing

MetricClaude Opus 5.5Lyria 3 Clip Preview
LiveBench overall

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

83.2
Cost per point

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

$0.4474
Blended price / 1M

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

$8.00Freewin
Input price / 1M$4.00Freewin
Output price / 1M$20.00Freewin
Cached input / 1M

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

$0.200
Context window1M1.0M
Max output tokens128Kwin66K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Claude Opus 5.5 on top, Lyria 3 Clip Preview below, both out of 100.

Agentic coding
71.7
Coding
89.3
Reasoning
92.2
Mathematics
97.1
Data analysis
80.3
Language
86.3
Instruction following
65.7

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 Opus 5.5Lyria 3 Clip Preview
Support chatbot

1.2K in / 400 out × 200K requests

$2,286/mo$0/mo
RAG assistant

8K in / 600 out × 100K requests

$2,880/mo$0/mo
Coding agent

40K in / 4K out × 20K requests

$2,672/mo$0/mo
Document extraction

20K in / 1.5K out × 50K requests

$5,310/mo$0/mo
Bulk classification

500 in / 20 out × 5M requests

$10,100/mo$0/mo
Run these two through the cost calculator

Which should you pick?

You are cost-constrained

Lyria 3 Clip Preview

Cheaper on blended list price at Free per million tokens.

Claude Opus 5.5 vs Lyria 3 Clip Preview FAQ

Which is better, Claude Opus 5.5 or Lyria 3 Clip Preview?

Lyria 3 Clip Preview is the cheaper of the two; neither can be ranked on quality here. Lyria 3 Clip Preview does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

Is Claude Opus 5.5 cheaper than Lyria 3 Clip Preview?

Lyria 3 Clip Preview is cheaper. On a 3:1 input:output blend, Claude Opus 5.5 lists at $8.00 per million tokens and Lyria 3 Clip Preview at Free. Input and output are priced separately — Claude Opus 5.5 charges $4.00 in and $20.00 out, Lyria 3 Clip Preview charges Free and Free — so the model that looks cheaper flips depending on how output-heavy your workload is.

Does Claude Opus 5.5 or Lyria 3 Clip Preview have a bigger context window?

They are effectively the same — 1M for Claude Opus 5.5 and 1.0M for Lyria 3 Clip Preview.

Do Claude Opus 5.5 and Lyria 3 Clip Preview support prompt caching?

Claude Opus 5.5 publishes a cached-input rate of $0.200 per million tokens against a full input rate of $4.00. The catalogue lists no separate cached rate for Lyria 3 Clip Preview, which means the provider does not price it separately here — not that caching is unavailable.

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.
  • ScoresLiveBench 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.