Claude Sonnet 4.6 vs Claude Haiku 4.5
Anthropic vs Anthropic · Prices checked 12 August 2026
Claude Haiku 4.5 is the cheaper of the two by a wide margin: $1.76 per million tokens blended against $6.60, roughly 3.8× less. A single 100K-input, 10K-output job costs $0.120 on Claude Haiku 4.5 against $0.450 on Claude Sonnet 4.6.
Claude Sonnet 4.6 leads on 6 of the 6 benchmarks both models report. The widest gap is on LMArena Elo, where Claude Sonnet 4.6 leads by 72 points. Claude Sonnet 4.6 takes a 1,000,000-token context window against 200,000, giving 5× more room for long documents or whole-codebase work. Claude Sonnet 4.6 was released Nov 2025; Claude Haiku 4.5 Oct 2025.
Pricing and capacity
| Metric | Claude Sonnet 4.6 | Claude Haiku 4.5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $3.00 | $0.800 | 3.8× |
| Output / 1M tokens | $15.00 | $4.00 | 3.8× |
| Blended · 70/30calculated | $6.60 | $1.76 | 3.8× |
| Blended · 50/50calculated | $9.00 | $2.40 | 3.8× |
| Blended · 80/20calculated | $5.40 | $1.44 | 3.8× |
| Blended · 20/80calculated | $12.60 | $3.36 | 3.7× |
| Job cost · 100K + 10Kcalculated | $0.450 | $0.120 | 3.8× |
| Job cost · 1M + 100Kcalculated | $4.50 | $1.20 | 3.7× |
| Context window | 1,000,000 | 200,000 | 5.0× |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
| Benchmark | Claude Sonnet 4.6 | Claude Haiku 4.5 | Leader |
|---|---|---|---|
| MMLU | 86% | 78% | Claude Sonnet 4.6 |
| GPQA Diamond | 75% | 56% | Claude Sonnet 4.6 |
| MATH | 89% | 75% | Claude Sonnet 4.6 |
| HumanEval | 92% | 80% | Claude Sonnet 4.6 |
| SWE-bench Verified | 65% | 38% | Claude Sonnet 4.6 |
| LMArena Elo | 1352 Elo | 1280 Elo | Claude Sonnet 4.6 |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
Claude Sonnet 4.6
Anthropic · Balanced
Frontier-grade Claude at one fifth of Opus pricing. The default workhorse for most production traffic on the Anthropic API.
- Best price/performance in the Claude family
- 1M-token context
- Strong vision
- Reliable function calling
Claude Haiku 4.5
Anthropic · Efficient
The fastest, cheapest current-gen Claude. Built for high-throughput classification, summarisation and routing.
- Sub-second latency
- Affordable at scale
- 200K context
- Tool calling at speed
Frequently asked questions
Which is cheaper, Claude Sonnet 4.6 or Claude Haiku 4.5?
Claude Haiku 4.5 is the cheaper of the two by a wide margin: $1.76 per million tokens blended against $6.60, roughly 3.8× less. A single 100K-input, 10K-output job costs $0.120 on Claude Haiku 4.5 against $0.450 on Claude Sonnet 4.6. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which performs better, Claude Sonnet 4.6 or Claude Haiku 4.5?
Claude Sonnet 4.6 leads on 6 of the 6 benchmarks both models report. The widest gap is on LMArena Elo, where Claude Sonnet 4.6 leads by 72 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, Claude Sonnet 4.6 or Claude Haiku 4.5?
Claude Sonnet 4.6 takes a 1,000,000-token context window against 200,000, giving 5× more room for long documents or whole-codebase work. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare Claude Sonnet 4.6 and Claude Haiku 4.5 on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.