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Qwen3 VL 8B Thinking vs DeepSeek V4 Pro (0813)

At a glance

Compact vision-language model with always-on reasoning for visual tasks.

131K ctx

The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.

1.0M ctx$0.66/$1.98 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
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Reasoning & Knowledge
Graduate Science91.7%Factual Recall52.9%
Math
Competition Math98.6%
Agentic
Novel Reasoning61.3%
Specs
131K
Context
33K
Max output
—
Released
1.0M
Context
256K
Max output
Aug 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$0.66/M tokens
Output$1.98/M tokens
Cache read$0.02/M tokens
Chat with Qwen3 VL 8B ThinkingGo to model
Chat with DeepSeek V4 Pro (0813)Go to model
Frequently Asked Questions: Qwen3 VL 8B Thinking vs DeepSeek V4 Pro (0813)▼

Which is better, Qwen3 VL 8B Thinking or DeepSeek V4 Pro (0813)?

▼

Both Qwen3 VL 8B Thinking and DeepSeek V4 Pro (0813) 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, Qwen3 VL 8B Thinking or DeepSeek V4 Pro (0813)?

▼

DeepSeek V4 Pro (0813) has a larger context window: Qwen3 VL 8B Thinking supports 131K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.

Do both Qwen3 VL 8B Thinking and DeepSeek V4 Pro (0813) support vision?

▼

Qwen3 VL 8B Thinking supports vision/image input, but DeepSeek V4 Pro (0813) does not.

What are the key differences between Qwen3 VL 8B Thinking and DeepSeek V4 Pro (0813)?

▼

Key differences: only Qwen3 VL 8B Thinking 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 Qwen3 VL 8B Thinking and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.

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