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MiniMax M2.5 vs DeepSeek V4 Pro

Token pricing, context window and real monthly cost, side by side. MiniMax M2.5 is the cheaper of the two for a typical workload — about 1.6× less.

cheaper for a typical workload
MiniMax M2.5
saves 38% vs DeepSeek V4 Pro at 1,500 in / 500 out × 200,000/mo
MiniMax M2.5 $135/mo
DeepSeek V4 Pro $217/mo
MiniMax M2.5 versus DeepSeek V4 Pro specifications and price.
metric MiniMax M2.5 DeepSeek V4 Pro
Input / 1M $0.15 $0.43
Output / 1M $0.90 $0.87
Context 205K 1.0M
Cost @ typical workload $135/mo $217/mo
Modality Text only Text only
Price source routed list
Provider MiniMax DeepSeek

Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →

Which should you pick?

On a typical workload, MiniMax M2.5 costs $135/mo against DeepSeek V4 Pro's $217/mo — roughly 1.6× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, DeepSeek V4 Pro has the larger 1.0M-token window (~1,573 pages).

These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures.

Frequently asked questions

Is MiniMax M2.5 or DeepSeek V4 Pro cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), MiniMax M2.5 costs $135/mo versus $217/mo for DeepSeek V4 Pro — about 1.6× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.

What's the main difference between MiniMax M2.5 and DeepSeek V4 Pro?

On price, MiniMax M2.5 is $0.15/$0.90 per 1M (in/out) and DeepSeek V4 Pro is $0.43/$0.87. DeepSeek V4 Pro has the larger context window at 1.0M tokens.

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