Standard Compute
Model comparison 2026

DeepSeek V4.1 Flash vs Llama 4 Maverick

DeepSeek V4.1 Flash
DeepSeek · Budget · Open weights
$0.22/1M · 1.0M ctx
Llama 4 Maverick
Meta · Budget · Open weights
$0.33/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
DeepSeek V4.1 Flash
Llama 4 Maverick
Maker
DeepSeek
Meta
Blended price / 1M
$0.22
$0.33
Input / output
$0.04 in · $0.63 out / 1M tokens
$0.19 in · $0.65 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
8.8
7.2
Agentic Ability
8.8
7.2
Speed
9.4
8.6
Value for money
10.0
9.2
Reliability
8.8
8.8

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: DeepSeek V4.1 Flash or Llama 4 Maverick?

Updated 2026-10-13

Choose DeepSeek V4.1 Flash if you want cheap, high-volume open-weight agent work. Choose Llama 4 Maverick if you want self-hosted agents that want the Llama ecosystem.

In our editorial scoring, DeepSeek V4.1 Flash leads in 4 of five dimensions (output quality, agentic ability, speed and value for money), while Llama 4 Maverick leads in 0. On price, DeepSeek V4.1 Flash runs about $0.22 per 1M tokens (blended) and is open-weight; Llama 4 Maverick is about $0.33 and open-weight.

Where DeepSeek V4.1 Flash falls short
  • Well below the frontier on long agentic tasks
  • DeepSeek API prices differ between peak and off-peak hours
Full DeepSeek V4.1 Flash breakdown →
Where Llama 4 Maverick falls short
  • Behind frontier models on quality
  • Tool use less polished
Full Llama 4 Maverick breakdown →

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