Claude Haiku 4.5 vs Llama 4 Scout
Anthropic vs Meta · Prices checked 12 August 2026
There is a 10.1× price gap here. Llama 4 Scout blends to $0.175 per million tokens; Claude Haiku 4.5 to $1.76. A single 100K-input, 10K-output job costs $0.014 on Llama 4 Scout against $0.120 on Claude Haiku 4.5.
Capability favours Llama 4 Scout, ahead on 4 of 5 suites they both publish. The widest gap is on LMArena Elo, where Claude Haiku 4.5 leads by 15 points. Llama 4 Scout reads more in one request: 512,000 tokens of context against 200,000.
Pricing and capacity
| Metric | Claude Haiku 4.5 | Llama 4 Scout | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.800 | $0.100 | 8.0× |
| Output / 1M tokens | $4.00 | $0.350 | 11.4× |
| Blended · 70/30calculated | $1.76 | $0.175 | 10.1× |
| Blended · 50/50calculated | $2.40 | $0.225 | 10.7× |
| Blended · 80/20calculated | $1.44 | $0.150 | 9.6× |
| Blended · 20/80calculated | $3.36 | $0.300 | 11.2× |
| Job cost · 100K + 10Kcalculated | $0.120 | $0.014 | 8.9× |
| Job cost · 1M + 100Kcalculated | $1.20 | $0.135 | 8.9× |
| Context window | 200,000 | 512,000 | 2.6× |
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 Haiku 4.5 | Llama 4 Scout | Leader |
|---|---|---|---|
| MMLU | 78% | 80% | Llama 4 Scout |
| GPQA Diamond | 56% | 57% | Llama 4 Scout |
| MATH | 75% | 78% | Llama 4 Scout |
| HumanEval | 80% | 82% | Llama 4 Scout |
| LMArena Elo | 1280 Elo | 1265 Elo | Claude Haiku 4.5 |
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 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
Llama 4 Scout
Meta · Efficient
Long-context Llama 4 with a 512K window, the open-weights answer to long-document workloads.
- 512K context
- Open weights
- MoE efficiency
Frequently asked questions
Which is cheaper, Claude Haiku 4.5 or Llama 4 Scout?
There is a 10.1× price gap here. Llama 4 Scout blends to $0.175 per million tokens; Claude Haiku 4.5 to $1.76. A single 100K-input, 10K-output job costs $0.014 on Llama 4 Scout against $0.120 on Claude Haiku 4.5. 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 Haiku 4.5 or Llama 4 Scout?
Capability favours Llama 4 Scout, ahead on 4 of 5 suites they both publish. The widest gap is on LMArena Elo, where Claude Haiku 4.5 leads by 15 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 Haiku 4.5 or Llama 4 Scout?
Llama 4 Scout reads more in one request: 512,000 tokens of context against 200,000. 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 Haiku 4.5 and Llama 4 Scout 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.