DeepSeek Chat V3 vs Llama 4 Maverick

Performance benchmarks + pricing comparison — updated April 2026

DeepSeek Chat V3

DeepSeek

Very affordable general-purpose model from DeepSeek. Strong coding and reasoning at low cost.

Input$0.270/M
Output$1.10/M
Context128K tokens
Best ForCost-sensitive projects, coding, general tasks
Benchmark62/100

Llama 4 Maverick

Meta

Meta's Llama 4 flagship model. Strong multimodal and coding with MoE architecture.

Input$0.400/M
Output$1.60/M
Context10M tokens
Best ForComplex multimodal tasks, coding, long-context analysis

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioDeepSeek Chat V3Llama 4 MaverickSavings
Small Script (1K lines) $0.04 $0.06 DeepSeek Chat V3 saves $0.02 (32%)
Medium Feature (10K lines) $0.31 $0.46 DeepSeek Chat V3 saves $0.15 (32%)
Large Project (50K lines) $1.57 $2.30 DeepSeek Chat V3 saves $0.73 (32%)
Code Review (5K lines) $0.07 $0.11 DeepSeek Chat V3 saves $0.04 (32%)

Verdict

DeepSeek Chat V3 wins on both price and performance — $0.270/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models