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Qwen3 30B A3B Thinking (2507) vs DeepSeek V4 Pro (0813)

At a glance

July 2025 Qwen3 30B MoE model with always-on extended thinking.

82K 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
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI· as of 2026-10-02
Reasoning & Knowledge
Graduate Science70.1%Factual Recall—
Math
Competition Math70.3%
Agentic
Novel Reasoning—
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Reasoning & Knowledge
Graduate Science31%91.7%Factual Recall52.9%
Math
Competition Math40%98.6%
Agentic
Novel Reasoning61.3%
Specs
82K
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 30B A3B Thinking (2507)Go to model
Chat with DeepSeek V4 Pro (0813)Go to model
Frequently Asked Questions: Qwen3 30B A3B Thinking (2507) vs DeepSeek V4 Pro (0813)▼

Which is better, Qwen3 30B A3B Thinking (2507) or DeepSeek V4 Pro (0813)?

▼

Both Qwen3 30B A3B Thinking (2507) 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 30B A3B Thinking (2507) or DeepSeek V4 Pro (0813)?

▼

DeepSeek V4 Pro (0813) has a larger context window: Qwen3 30B A3B Thinking (2507) supports 82K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.

What are the key differences between Qwen3 30B A3B Thinking (2507) and DeepSeek V4 Pro (0813)?

▼

Qwen3 30B A3B Thinking (2507) and DeepSeek V4 Pro (0813) 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 30B A3B Thinking (2507) and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.

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