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Claude Sonnet 5 vs Step 5 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

Claude Sonnet 5 scores higher, Step 5 Preview costs less — it depends on your workload.

Claude Sonnet 5 is ahead by 12.6 points overall, and Step 5 Preview lists 2.8× cheaper per blended million tokens. Whether 12.6 points is worth that depends on how much a wrong answer costs you. The two cost measures disagree here, which is worth knowing: Step 5 Preview has the lower sticker price, but Claude Sonnet 5 earns each point of capability for less — $2.28 against $4.08 — because per-token rates do not predict how many tokens a model actually spends on a task.

anthropic

Claude Sonnet 5

Blended / 1M
$4.00
Context
1M
Released
Jun 30, 2026
Overall score
74.6
reasoningtool callingimage inputfile inputprompt caching

stepfun

Step 5 Preview

Blended / 1M
$1.43
Context
1.0M
Released
Oct 8, 2026
Overall score
62.0
reasoningtool callingimage inputvideo inputprompt caching

Specs and pricing

MetricClaude Sonnet 5Step 5 Preview
LiveBench overall

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

74.6win62.0
Cost per point

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

$2.28win$4.08
Blended price / 1M

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

$4.00$1.43win
Input price / 1M$2.00$1.00win
Output price / 1M$10.00$2.70win
Cached input / 1M

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

$0.200$0.100win
Context window1M1.0M
Max output tokens128Kwin64K

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Claude Sonnet 5 on top, Step 5 Preview below, both out of 100.

Coding
82.2
85.6
Reasoning
88.7
83.8
Data analysis
71.7
63.5

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 Sonnet 5Step 5 Preview
Support chatbot

1.2K in / 400 out × 200K requests

$1,150/mo$391.20/mo
RAG assistant

8K in / 600 out × 100K requests

$1,480/mo$602.00/mo
Coding agent

40K in / 4K out × 20K requests

$1,392/mo$512.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$2,660/mo$1,158/mo
Bulk classification

500 in / 20 out × 5M requests

$5,100/mo$2,320/mo
Run these two through the cost calculator

Which should you pick?

You are running this at volume

Claude Sonnet 5

Lowest measured cost per point of capability at $2.28 per point — the gap compounds with every request.

Quality matters more than the bill

Claude Sonnet 5

Highest overall LiveBench score of the two at 74.6.

The workload is coding or agentic work

Step 5 Preview

Leads on coding — 85.6 against 82.2.

Claude Sonnet 5 vs Step 5 Preview FAQ

Which is better, Claude Sonnet 5 or Step 5 Preview?

Claude Sonnet 5 scores higher, Step 5 Preview costs less — it depends on your workload. Claude Sonnet 5 is ahead by 12.6 points overall, and Step 5 Preview lists 2.8× cheaper per blended million tokens. Whether 12.6 points is worth that depends on how much a wrong answer costs you. The two cost measures disagree here, which is worth knowing: Step 5 Preview has the lower sticker price, but Claude Sonnet 5 earns each point of capability for less — $2.28 against $4.08 — because per-token rates do not predict how many tokens a model actually spends on a task.

Is Claude Sonnet 5 cheaper than Step 5 Preview?

Step 5 Preview is cheaper. On a 3:1 input:output blend, Claude Sonnet 5 lists at $4.00 per million tokens and Step 5 Preview at $1.43 — Step 5 Preview is 2.8× cheaper. Input and output are priced separately — Claude Sonnet 5 charges $2.00 in and $10.00 out, Step 5 Preview charges $1.00 and $2.70 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Claude Sonnet 5 vs Step 5 Preview: which scores higher on benchmarks?

Claude Sonnet 5 scores 74.6 and Step 5 Preview scores 62.0 overall on LiveBench, the mean of its seven categories. That is a 12.6-point lead for Claude Sonnet 5. 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 Sonnet 5 or Step 5 Preview?

Claude Sonnet 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 Sonnet 5 works out at $2.28 per point and Step 5 Preview at $4.08.

Does Claude Sonnet 5 or Step 5 Preview have a bigger context window?

They are effectively the same — 1M for Claude Sonnet 5 and 1.0M for Step 5 Preview.

Do Claude Sonnet 5 and Step 5 Preview support prompt caching?

Both publish a cached-input rate: $0.200 per million for Claude Sonnet 5 and $0.100 for Step 5 Preview, against full input rates of $2.00 and $1.00. 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 2026-09-02, 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.