Verified November 2026

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Claude Haiku 4.5 vs Llama 4 Scout

A straight cost comparison of Claude Haiku 4.5 (Anthropic) and Llama 4 Scout (Meta (Llama)), per 1,000,000 tokens, verified November 2026.

$1Claude Haiku 4.5 input / 1M
$0.18Llama 4 Scout input / 1M
85%Blended price gap
Llama 4 ScoutCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricClaude Haiku 4.5Llama 4 ScoutWinner
Input / 1M$1$0.18Llama 4 Scout
Cached input / 1M$0.10$0.018Llama 4 Scout
Cache write / 1M$1.25—Llama 4 Scout
Output / 1M$5$0.59Llama 4 Scout
Context window200,00010,000,000Llama 4 Scout
Batch APIYesYesTie
Long-context tierNoneNone—

For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.

Blended cost: 1M input + 250K output

ModelBlended costDifference
Claude Haiku 4.5$2.25+$1.92
Llama 4 Scout$0.328Cheaper

Ten workloads, two bills

The same two models, priced across ten workloads that differ only in their input:output ratio. Nothing else changes — no retries, no system prompt, no middleware.

WorkloadClaude Haiku 4.5Llama 4 ScoutWinner
Classification
100K reqs · 500 in / 10 out
$55$9.59Llama 4 Scout
Data extraction
10K reqs · 2K in / 200 out
$30$4.78Llama 4 Scout
Support chat
1K reqs · 4K in / 600 out
$7$1.07Llama 4 Scout
Code review
2K reqs · 8K in / 1.5K out
$31$4.65Llama 4 Scout
Summarisation
1K reqs · 20K in / 1K out
$25$4.19Llama 4 Scout
Agent loop
5K reqs · 12K in / 2K out
$110$16.70Llama 4 Scout
Translation
500 reqs · 15K in / 15K out
$45$5.77Llama 4 Scout
Long-document QA
200 reqs · 120K in / 800 out
$24.80$4.41Llama 4 Scout
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$14.55$2.31Llama 4 Scout
Nightly batch
10K reqs · 10K in / 2K out
$100$14.90Llama 4 Scout

Claude Haiku 4.5 wins 0 of 10, Llama 4 Scout wins 10 of 10. The winner is set by the token mix, not by the headline rate.

Where the two bills cross over

Llama 4 Scout is cheaper on both sides of the mix: $0.18 vs $1 per million input tokens, and $0.59 vs $5 per million output. No input:output ratio reverses that, so on price alone the other model never becomes the better choice — it has to win on context, latency or output quality.

Cost at four scales

The same support-chat workload (4K input, 600 output per request) at four monthly volumes.

Requests / monthClaude Haiku 4.5Llama 4 ScoutDifference
100$0.70$0.107Llama 4 Scout cheaper by $0.593
1,000$7$1.07Llama 4 Scout cheaper by $5.93
10,000$70$10.74Llama 4 Scout cheaper by $59.26
100,000$700$107Llama 4 Scout cheaper by $593

What caching does to each bill

Caching only helps the part of the prompt that repeats. This is the support-chat workload (1,000 requests, 4,000 input tokens each) with an increasing share of that prompt served from a warm cache, written once on the first request.

Cached share of the promptClaude Haiku 4.5Llama 4 ScoutWinner
0%$7$1.07Llama 4 Scout
50%$5.20$0.75Llama 4 Scout
80%$4.12$0.556Llama 4 Scout
95%$3.58$0.459Llama 4 Scout

Both models publish a cached-read rate, so the discount is comparable: Claude Haiku 4.5 reads cache at $0.10 per million, Llama 4 Scout at $0.018.

Which one should you pick?

Claude Haiku 4.5 wins on none of the ten workloads above, while Llama 4 Scout wins on classification, data extraction, support chat, code review, summarisation, agent loop, translation, long-document qa, cached rag, nightly batch.

Beyond price, the two differ on input rate ($1 vs $0.18); output rate ($5 vs $0.59); cached-input rate ($0.10 vs $0.018); cache-write rate ($1.25 vs —); context window (200,000 vs 10,000,000).

Batch mode is available on Claude Haiku 4.5 and Llama 4 Scout, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is Claude Haiku 4.5 cheaper than Llama 4 Scout?

On a blended 1M-input-plus-250K-output workload, Llama 4 Scout is cheaper by 85% ($0.328 vs $2.25). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, Claude Haiku 4.5 or Llama 4 Scout?

Claude Haiku 4.5 has the larger context window (10,000,000 vs 200,000 tokens). Neither model publishes a long-context surcharge.

Do both models support prompt caching?

Claude Haiku 4.5 bills cached reads at $0.10 per 1M; Llama 4 Scout at $0.018.

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