DeepSeek V4-Pro vs MiMo-V2.6-Pro

DeepSeek · China  |  Xiaomi · China · Updated June 2026

Quick verdict

Pick DeepSeek V4-Pro for open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable or 1m-token context with up to 384k output tokens. Pick MiMo-V2.6-Pro for natively omnimodal — text, image, video and audio in one model family, not bolted-on modality adapters or 1.02 trillion total parameters, 42b active per token (sparse moe), mit-licensed and self-hostable. On a tight budget at scale, MiMo-V2.6-Pro is the value pick.

DeepSeek V4-Pro (DeepSeek) and MiMo-V2.6-Pro (Xiaomi) are two of the models people most often weigh against each other in 2026. DeepSeek V4-Pro is deepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices. MiMo-V2.6-Pro is xiaomi's flagship omnimodal model — 1.02T parameters, native text/image/video/audio, MIT-licensed, released September 22, 2026. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecDeepSeek V4-ProMiMo-V2.6-Pro
ProviderDeepSeek (China) Xiaomi (China)
ReleasedApril 24, 2026 September 22, 2026
Context window1M (~1,500 pages) 1M tokens (~1,573 pages)
Price (in/out)$0.66/$1.98 per 1M tokens $0.435/$0.87 per 1M tokens
Open weight?Yes — self-hostable Yes — self-hostable
Modalitiestext, code text, image, video, audio
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Open-weight 1.6T MoE (~49B active) — DeepSeek's largest, self-hostable

DeepSeek V4-Pro

DeepSeek V4-Pro lists open-weight 1.6T MoE (~49B active) — DeepSeek's largest, self-hostable among its strengths; MiMo-V2.6-Pro does not.

1M-token context with up to 384K output tokens

DeepSeek V4-Pro

DeepSeek V4-Pro lists 1M-token context with up to 384K output tokens among its strengths; MiMo-V2.6-Pro does not.

Permanent low pricing at $0.435/$0.87 per million, set May 2026

DeepSeek V4-Pro

MiMo-V2.6-Pro is comparatively weak here — no official API pricing from Xiaomi directly — the listed price reflects third-party inference providers (e.g. OpenRouter), which can change independently of Xiaomi's own terms

Natively omnimodal — text, image, video and audio in one model family, not bolted-on modality adapters

MiMo-V2.6-Pro

DeepSeek V4-Pro is comparatively weak here — text and code only — no image, audio or video

1.02 trillion total parameters, 42B active per token (sparse MoE), MIT-licensed and self-hostable

MiMo-V2.6-Pro

Xiaomi's flagship omnimodal model — 1.02T parameters, native text/image/video/audio, MIT-licensed, released September 22, 2026 — and it runs cheaper at $0.435/$0.87 per 1M tokens.

Reported Artificial Analysis Intelligence Index score of 46

MiMo-V2.6-Pro

DeepSeek V4-Pro is comparatively weak here — pro and Pro-Max variants are quoted with different scores

Lowest cost at scale

MiMo-V2.6-Pro

At $0.435/$0.87 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

MiMo-V2.6-Pro

At $0.435/$0.87 per 1M tokens it undercuts DeepSeek V4-Pro, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

MiMo-V2.6-Pro

Larger 1M tokens window fits more in one prompt.

Anyone whose priority is open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable

DeepSeek V4-Pro

It is specifically built for that.

Anyone whose priority is natively omnimodal — text, image, video and audio in one model family, not bolted-on modality adapters

MiMo-V2.6-Pro

That is its strongest area.

DeepSeek V4-Pro: where it fits

DeepSeek's 1.6-trillion-parameter open-weight model at $0.435/$0.87 — strong open-weight coding and a 1M context at a fraction of flagship prices. Released April 24, 2026 by DeepSeek, it is built for open-weight 1.6T MoE (~49B active) — DeepSeek's largest, self-hostable, 1M-token context with up to 384K output tokens, permanent low pricing at $0.435/$0.87 per million, set May 2026, and sources place it near the top of open-weight coding, around 80 on SWE-Bench Verified.

Its trade-offs are real: independent SWE-Bench Verified placement is inconsistent across sources, pro and Pro-Max variants are quoted with different scores, text and code only — no image, audio or video, and overlaps DeepSeek V4 and V3.2 already in this comparison. At $0.66 in / $1.98 out per million tokens, it sits in the budget price band.

MiMo-V2.6-Pro: where it fits

Xiaomi's flagship omnimodal model — 1.02T parameters, native text/image/video/audio, MIT-licensed, released September 22, 2026. Released September 22, 2026 by Xiaomi, it is built for natively omnimodal — text, image, video and audio in one model family, not bolted-on modality adapters, 1.02 trillion total parameters, 42B active per token (sparse MoE), MIT-licensed and self-hostable, reported Artificial Analysis Intelligence Index score of 46, and a separate 'UltraSpeed' variant reportedly delivers up to 20x faster output than Pro at similar quality for high-throughput use cases.

Its trade-offs: first-generation omnimodal release from Xiaomi's MiMo line — benchmark claims are largely Xiaomi's own reporting, not yet widely independently verified, an Artificial Analysis Index score of 46 trails several established frontier models, and no official API pricing from Xiaomi directly — the listed price reflects third-party inference providers (e.g. OpenRouter), which can change independently of Xiaomi's own terms. At $0.435 in / $0.87 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

DeepSeek V4-Pro and MiMo-V2.6-Pro overlap enough that the right pick depends on your specific job. MiMo-V2.6-Pro costs less per token; MiMo-V2.6-Pro holds the larger context; and each leads in its own area — DeepSeek V4-Pro for open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable, MiMo-V2.6-Pro for natively omnimodal — text, image, video and audio in one model family, not bolted-on modality adapters. Rather than crowning one, run the same hard task through both once and let the results decide.

Want both DeepSeek V4-Pro and MiMo-V2.6-Pro without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is DeepSeek V4-Pro or MiMo-V2.6-Pro better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, DeepSeek V4-Pro leans toward open-weight 1.6t moe (~49b active) — deepseek's largest, self-hostable while MiMo-V2.6-Pro leans toward natively omnimodal — text, image, video and audio in one model family, not bolted-on modality adapters, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, DeepSeek V4-Pro or MiMo-V2.6-Pro?

MiMo-V2.6-Pro is cheaper — $0.66/$1.98 per 1M tokens vs $0.435/$0.87 per 1M tokens, roughly 1.5× apart on input.

Which has the bigger context window?

Effectively neither — 1M vs 1M tokens is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both DeepSeek V4-Pro and MiMo-V2.6-Pro together?

Yes — a multi-model platform like LumiChats gives you DeepSeek V4-Pro, MiMo-V2.6-Pro and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, DeepSeek V4-Pro or MiMo-V2.6-Pro?

MiMo-V2.6-Pro — released September 22, 2026, about 5 months after DeepSeek V4-Pro.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.