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Llama 4 Maverick vs Qwen3 Coder Next

At a glance

Meta's high-capacity multimodal MoE model with 128 experts.

1.0M ctx$0.20/$0.80 per M

Efficient coding agent with 80B parameters, only 3B active per token.

262K ctx$0.11/$0.80 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper19%
Specs
1.0M
Context
16K
Max output
Apr 2025
Released
262K
Context
128K
Max output
Feb 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$0.20/M tokens
Output$0.80/M tokens
Live pricing, shown before you run
Input45%$0.11/M tokens
Output$0.80/M tokens
Cache read$0.07/M tokens
Chat with Llama 4 MaverickGo to model
Chat with Qwen3 Coder NextGo to model
Frequently Asked Questions: Llama 4 Maverick vs Qwen3 Coder Next▼

Which is better, Llama 4 Maverick or Qwen3 Coder Next?

▼

Both Llama 4 Maverick and Qwen3 Coder Next are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Llama 4 Maverick or Qwen3 Coder Next?

▼

Qwen3 Coder Next has a lower blended cost. Llama 4 Maverick: $0.20 input / $0.80 output. Qwen3 Coder Next: $0.11 input / $0.80 output.

Which has a larger context window, Llama 4 Maverick or Qwen3 Coder Next?

▼

Llama 4 Maverick has a larger context window: Llama 4 Maverick supports 1M tokens vs Qwen3 Coder Next at 262K tokens.

Do both Llama 4 Maverick and Qwen3 Coder Next support vision?

▼

Llama 4 Maverick supports vision/image input, but Qwen3 Coder Next does not.

What are the key differences between Llama 4 Maverick and Qwen3 Coder Next?

▼

Key differences: only Llama 4 Maverick supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 4 Maverick and Qwen3 Coder Next for free on idapt.app to see which performs better for your specific needs.

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