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Qwen3.8 27B vs MiniMax M3

At a glance

Open-weight dense 27B vision-language model from Qwen for long-running agent tasks.

1M ctx$0.42/$3.00 per M

MiniMax's multimodal foundation model for long-horizon agentic work.

524K ctx$0.30/$1.20 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
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper51%
Specs
1M
Context
131K
Max output
Aug 2026
Released
524K
Context
128K
Max output
May 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$0.42/M tokens
Output$3.00/M tokens
Cache read$0.08/M tokens
Live pricing, shown before you run
Input29%$0.30/M tokens
Output60%$1.20/M tokens
Cache read29%$0.06/M tokens
Chat with Qwen3.8 27BGo to model
Chat with MiniMax M3Go to model
Frequently Asked Questions: Qwen3.8 27B vs MiniMax M3▼

Which is better, Qwen3.8 27B or MiniMax M3?

▼

Both Qwen3.8 27B and MiniMax M3 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, Qwen3.8 27B or MiniMax M3?

▼

MiniMax M3 has a lower blended cost. Qwen3.8 27B: $0.42 input / $3.00 output. MiniMax M3: $0.30 input / $1.20 output.

Which has a larger context window, Qwen3.8 27B or MiniMax M3?

▼

Qwen3.8 27B has a larger context window: Qwen3.8 27B supports 1M tokens vs MiniMax M3 at 524K tokens.

Do both Qwen3.8 27B and MiniMax M3 support vision?

▼

Yes, both Qwen3.8 27B and MiniMax M3 support vision/image input.

What are the key differences between Qwen3.8 27B and MiniMax M3?

▼

Qwen3.8 27B and MiniMax M3 have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

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 Qwen3.8 27B and MiniMax M3 for free on idapt.app to see which performs better for your specific needs.

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