DeepSeek-V4-Pro-0813 vs MiMo-V2.6-Pro: Specs & Benchmark Comparison

DeepSeek-V4-Pro-0813 is developed by DeepSeek, while MiMo-V2.6-Pro comes from Xiaomi. DeepSeek-V4-Pro-0813 was released in August 2026, and MiMo-V2.6-Pro followed a month later in September 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 1.0 trillion for MiMo-V2.6-Pro.

The two models share 3 published benchmarks. MiMo-V2.6-Pro leads on 3 of them. The widest gaps are on CyberGym, where MiMo-V2.6-Pro scores 94.0% against 83.0%; Agents' Last Exam, where MiMo-V2.6-Pro scores 31.6% against 25.7%. Averaged across everything we track, DeepSeek-V4-Pro-0813 sits at 60.6% and MiMo-V2.6-Pro at 59.7%.

MiMo-V2.6-Pro is the cheaper API at $0.43 per million input tokens and $0.87 per million output tokens, roughly 3 times cheaper than DeepSeek-V4-Pro-0813 at $1.32 and $3.96. Both accept a context window of about 1M tokens. DeepSeek-V4-Pro-0813 accepts text as input, while MiMo-V2.6-Pro accepts text, images, audio, and video.

CharacteristicDeepSeek-V4-Pro-0813MiMo-V2.6-Pro
CompanyDeepSeekXiaomi
Release DateAugust 13, 2026September 22, 2026
Parameters1.6T1.0T
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)393K—
Input Price / 1M$1.32$0.43
Output Price / 1M$3.96$0.87
Average Score60.6%59.7%
Benchmarks
CyberGym83.0%94.0%
Agents' Last Exam25.7%31.6%
Terminal-Bench 2.188.0%89.9%

Visual Benchmark Comparison

DeepSeek-V4-Pro-0813
MiMo-V2.6-Pro
CyberGym0.8 vs 0.9
0.8
0.9
Agents' Last Exam0.3 vs 0.3
0.3
0.3
Terminal-Bench 2.10.9 vs 0.9
0.9
0.9

Verdict

MiMo-V2.6-Pro leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.6, MiMo-V2.6-Pro — 0.6.

API Cost

MiMo-V2.6-Pro is 4.0x cheaper: input $0.43/1M vs $1.32/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

MiMo-V2.6-Pro is newer: released 9/22/2026 vs 8/13/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Pro-0813 or MiMo-V2.6-Pro?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or MiMo-V2.6-Pro?
MiMo-V2.6-Pro is cheaper for input: $0.43 per 1M tokens vs $1.32.
Which has a larger context window — DeepSeek-V4-Pro-0813 or MiMo-V2.6-Pro?
DeepSeek-V4-Pro-0813 supports a larger context: 1,048,576 tokens vs 1,048,576.

The DeepSeek-V4-Pro-0813 and MiMo-V2.6-Pro comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or MiMo-V2.6-Pro page. See also the complete list of AI model comparisons.