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Mercury 2.5 vs DeepSeek V4 Flash

At a glance

Inception's latest diffusion LLM and the fastest reasoning model available, producing and refining tokens in parallel instead of one at a time.

260K ctx$0.04/$0.15 per M

Efficiency-optimized DeepSeek V4 at 284B total / 13B active for fast, high-throughput inference.

1.0M ctx$0.09/$0.19 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
Cheaper42%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
260K
Context
66K
Max output
Sep 2026
Released
1.0M
Context
16K
Max output
Apr 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input57%$0.04/M tokens
Output20%$0.15/M tokens
Cache read79%$0.004/M tokens
Live pricing, shown before you run
Input$0.09/M tokens
Output$0.19/M tokens
Cache read$0.02/M tokens
Chat with Mercury 2.5Go to model
Chat with DeepSeek V4 FlashGo to model
Frequently Asked Questions: Mercury 2.5 vs DeepSeek V4 Flash▼

Which is better, Mercury 2.5 or DeepSeek V4 Flash?

▼

Both Mercury 2.5 and DeepSeek V4 Flash 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, Mercury 2.5 or DeepSeek V4 Flash?

▼

Mercury 2.5 has a lower blended cost. Mercury 2.5: $0.04 input / $0.15 output. DeepSeek V4 Flash: $0.09 input / $0.19 output.

Which has a larger context window, Mercury 2.5 or DeepSeek V4 Flash?

▼

DeepSeek V4 Flash has a larger context window: Mercury 2.5 supports 260K tokens vs DeepSeek V4 Flash at 1M tokens.

What are the key differences between Mercury 2.5 and DeepSeek V4 Flash?

▼

Key differences: Mercury 2.5 is significantly cheaper. 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 Mercury 2.5 and DeepSeek V4 Flash for free on idapt.app to see which performs better for your specific needs.

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