DeepSeek V4 vs Llama 4 Maverick

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

DeepSeek V4

DeepSeek · Mar 2026

The open-weights shock of 2026: ~81% SWE-bench Verified, a 1M context and MIT license at $0.30/$0.50 per million tokens.

Llama 4 Maverick

Meta · Apr 2025

Meta's natively multimodal 400B MoE — the largest openly downloadable US-made model, served cheaply across many hosts.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. DeepSeek V4 is about 1.2x cheaper per blended million tokens (3:1 input:output mix).

Specs & pricing

DeepSeek V4Llama 4 Maverick
modhub Index
Input price / 1M$0.3$0.27
Output price / 1M$0.5$0.85
Context window1M1M
Max output64K
Open weightsyes (MIT)yes (Llama 4 Community License)
Reasoning modelyesno
Multimodal inputtexttext, image
Knowledge cutoffDec 2025Aug 2024
ReleasedMar 2026Apr 2025
Example monthly cost*$3.75$3.98

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, DeepSeek V4 or Llama 4 Maverick?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. DeepSeek V4 is about 1.2x cheaper per blended million tokens (3:1 input:output mix).
Which is cheaper, DeepSeek V4 or Llama 4 Maverick?
DeepSeek V4 costs $0.3/$0.5 per million input/output tokens, while Llama 4 Maverick costs $0.27/$0.85. For a typical workload of 10M input and 1.5M output tokens per month, that's $3.75 versus $3.98.
Which model is better for coding, DeepSeek V4 or Llama 4 Maverick?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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