Llama 4 405B vs Claude Haiku 4.5 for email drafting: which is better in 2026?

A head-to-head look at Llama 4 405B and Claude Haiku 4.5 for email drafting. Benchmarks via artificialanalysis.ai, pricing as of May 2026. Compare AI models like these inside Admix.

Quick verdict

For email drafting in May 2026, Claude Haiku 4.5 edges out Llama 4 405B on the inputPricePerMTok metric. Best tone-to-price ratio for client-facing email.

Side-by-side specs

Spec	Llama	Haiku
Intelligence index	71.5	65.8
Coding index	69.0	66.2
Context window	256K tokens	500K tokens
Speed (tok/s)	95	205
Input $/M	$0.90	$0.80
Output $/M	$2.70	$4.00
Released	Nov 5, 2025	Mar 19, 2026

How they handle email drafting

Llama 4 405B: Best fully open-weights model. The main caveat is trails closed flagships on coding.

Claude Haiku 4.5: Best tone-to-price ratio for client-facing email.

Cost per 1,000 queries

Assuming 1,500 input and 800 output tokens per query:

Llama 4 405B: $3.51 per 1,000 queries
Claude Haiku 4.5: $4.40 per 1,000 queries

Verdict by sub-task

Best raw quality on email drafting:
Best price: Claude Haiku 4.5
Longest context: Claude Haiku 4.5
Fastest: Claude Haiku 4.5

FAQ

Is Llama 4 405B better than Claude Haiku 4.5 for email drafting?

On May 2026 benchmarks (artificialanalysis.ai), Claude Haiku 4.5 ranks higher than Llama 4 405B for email drafting on the inputPricePerMTok metric. The gap is small enough that the choice often comes down to price, context length, and tone.

Which is cheaper, Llama 4 405B or Claude Haiku 4.5?

Llama 4 405B costs $0.90 input and $2.70 output per million tokens. Claude Haiku 4.5 costs $0.80 input and $4.00 output per million tokens.

Can I use both Llama and Haiku in one app?

Yes. Admix is a multi model AI chat aggregator that lets you run Llama 4 405B and Claude Haiku 4.5 side by side under one subscription.

Sources

Benchmarks from artificialanalysis.ai (May 2026).

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