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GLM 5V Turbo vs Muse Spark 1.3

At a glance

Zhipu AI's first native multimodal agent foundation model.

203K ctx$1.20/$4.00 per M

Meta's latest multimodal reasoning model for long-running agentic, multi-agent, and 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
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper5%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
203K
Context
131K
Max output
Apr 2026
Released
1.0M
Context
256K
Max output
Sep 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input4%$1.20/M tokens
Output6%$4.00/M tokens
Cache read$0.24/M tokens
Live pricing, shown before you run
Input$1.25/M tokens
Output$4.25/M tokens
Cache read38%$0.15/M tokens
Web search$0.003/search
Chat with GLM 5V TurboGo to model
Chat with Muse Spark 1.3Go to model
Frequently Asked Questions: GLM 5V Turbo vs Muse Spark 1.3▼

Which is better, GLM 5V Turbo or Muse Spark 1.3?

▼

Both GLM 5V Turbo and Muse Spark 1.3 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, GLM 5V Turbo or Muse Spark 1.3?

▼

GLM 5V Turbo has a lower blended cost. GLM 5V Turbo: $1.20 input / $4.00 output. Muse Spark 1.3: $1.25 input / $4.25 output.

Which has a larger context window, GLM 5V Turbo or Muse Spark 1.3?

▼

Muse Spark 1.3 has a larger context window: GLM 5V Turbo supports 203K tokens vs Muse Spark 1.3 at 1M tokens.

Do both GLM 5V Turbo and Muse Spark 1.3 support vision?

▼

Yes, both GLM 5V Turbo and Muse Spark 1.3 support vision/image input.

What are the key differences between GLM 5V Turbo and Muse Spark 1.3?

▼

GLM 5V Turbo and Muse Spark 1.3 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 GLM 5V Turbo and Muse Spark 1.3 for free on idapt.app to see which performs better for your specific needs.

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