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Qwen Turbo vs Muse Spark Open

At a glance

Fast and cost-efficient Qwen model for high-throughput applications.

611M ctx#70/92

Meta's strongest open-weight model, trained specifically for agentic coding workflows.

1.0M ctx$1.25/$4.25 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
CI 58.1-62.4
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI· as of 2026-10-02
Capability
CapabilityECI60.7
Reasoning & Knowledge
Graduate Science41.8%
Math
Math Problems56.2%Competition Math6.1%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Capability
Capability—
Reasoning & Knowledge
Graduate Science—
Math
Math Problems—Competition Math—
Specs
1M
Context
8K
Max output
—
Released
1.0M
Context
256K
Max output
Oct 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$1.25/M tokens
Output$4.25/M tokens
Cache read$0.15/M tokens
Chat with Qwen TurboGo to model
Chat with Muse Spark OpenGo to model
Frequently Asked Questions: Qwen Turbo vs Muse Spark Open▼

Which is better, Qwen Turbo or Muse Spark Open?

▼

Both Qwen Turbo and Muse Spark Open 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 has a larger context window, Qwen Turbo or Muse Spark Open?

▼

Muse Spark Open has a larger context window: Qwen Turbo supports 1M tokens vs Muse Spark Open at 1M tokens.

Do both Qwen Turbo and Muse Spark Open support vision?

▼

Muse Spark Open supports vision/image input, but Qwen Turbo does not.

What are the key differences between Qwen Turbo and Muse Spark Open?

▼

Key differences: only Muse Spark Open supports vision input; only Muse Spark Open offers extended reasoning mode. 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 Qwen Turbo and Muse Spark Open for free on idapt.app to see which performs better for your specific needs.

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