Verified November 2026

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Claude Sonnet 4.6 vs Llama 4 Maverick

A straight cost comparison of Claude Sonnet 4.6 (Anthropic) and Llama 4 Maverick (Meta (Llama)), per 1,000,000 tokens, verified November 2026.

$3Claude Sonnet 4.6 input / 1M
$0.27Llama 4 Maverick input / 1M
93%Blended price gap
Llama 4 MaverickCheaper blended

Rate-by-rate comparison

USD per 1M tokens · November 2026
MetricClaude Sonnet 4.6Llama 4 MaverickWinner
Input / 1M$3$0.27Llama 4 Maverick
Cached input / 1M$0.30$0.027Llama 4 Maverick
Cache write / 1M$3.75—Llama 4 Maverick
Output / 1M$15$0.85Llama 4 Maverick
Context window1,000,0001,000,000Tie
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 Sonnet 4.6$6.75+$6.27
Llama 4 Maverick$0.483Cheaper

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 Sonnet 4.6Llama 4 MaverickWinner
Classification
100K reqs · 500 in / 10 out
$165$14.35Llama 4 Maverick
Data extraction
10K reqs · 2K in / 200 out
$90$7.10Llama 4 Maverick
Support chat
1K reqs · 4K in / 600 out
$21$1.59Llama 4 Maverick
Code review
2K reqs · 8K in / 1.5K out
$93$6.87Llama 4 Maverick
Summarisation
1K reqs · 20K in / 1K out
$75$6.25Llama 4 Maverick
Agent loop
5K reqs · 12K in / 2K out
$330$24.70Llama 4 Maverick
Translation
500 reqs · 15K in / 15K out
$135$8.40Llama 4 Maverick
Long-document QA
200 reqs · 120K in / 800 out
$74.40$6.62Llama 4 Maverick
Cached RAG
1K reqs · 50K in (45K cached) / 1K out
$43.66$3.43Llama 4 Maverick
Nightly batch
10K reqs · 10K in / 2K out
$300$22Llama 4 Maverick

Claude Sonnet 4.6 wins 0 of 10, Llama 4 Maverick 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 Maverick is cheaper on both sides of the mix: $0.27 vs $3 per million input tokens, and $0.85 vs $15 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 Sonnet 4.6Llama 4 MaverickDifference
100$2.10$0.159Llama 4 Maverick cheaper by $1.94
1,000$21$1.59Llama 4 Maverick cheaper by $19.41
10,000$210$15.90Llama 4 Maverick cheaper by $194
100,000$2,100$159Llama 4 Maverick cheaper by $1,941

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 Sonnet 4.6Llama 4 MaverickWinner
0%$21$1.59Llama 4 Maverick
50%$15.61$1.10Llama 4 Maverick
80%$12.37$0.813Llama 4 Maverick
95%$10.75$0.668Llama 4 Maverick

Both models publish a cached-read rate, so the discount is comparable: Claude Sonnet 4.6 reads cache at $0.30 per million, Llama 4 Maverick at $0.027.

Which one should you pick?

Claude Sonnet 4.6 wins on none of the ten workloads above, while Llama 4 Maverick 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 ($3 vs $0.27); output rate ($15 vs $0.85); cached-input rate ($0.30 vs $0.027); cache-write rate ($3.75 vs —).

Batch mode is available on Claude Sonnet 4.6 and Llama 4 Maverick, which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.

FAQ

Is Claude Sonnet 4.6 cheaper than Llama 4 Maverick?

On a blended 1M-input-plus-250K-output workload, Llama 4 Maverick is cheaper by 93% ($0.483 vs $6.75). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.

Which handles longer prompts, Claude Sonnet 4.6 or Llama 4 Maverick?

Both models share the same 1,000,000-token context window. Neither model publishes a long-context surcharge.

Do both models support prompt caching?

Claude Sonnet 4.6 bills cached reads at $0.30 per 1M; Llama 4 Maverick at $0.027.

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