Hunyuan Hy3 vs MiMo-V2.6-Pro

Tencent · China  |  Xiaomi · China · Updated June 2026

Quick verdict

Pick Hunyuan Hy3 for frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost or runs a 295b model at the cost of a 21b — only 21b parameters active per token. 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, Hunyuan Hy3 is the value pick.

Hunyuan Hy3 (Tencent) and MiMo-V2.6-Pro (Xiaomi) are two of the models people most often weigh against each other in 2026. Hunyuan Hy3 is a 295B Apache-2.0 open MoE that reaches frontier reasoning quality while running at roughly 21B active-parameter cost. 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

SpecHunyuan Hy3MiMo-V2.6-Pro
ProviderTencent (China) Xiaomi (China)
ReleasedJuly 6, 2026 September 22, 2026
Context window256K (~384 pages) 1M tokens (~1,573 pages)
Price (in/out)Open weight (self-host / free) $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

Frontier-level reported reasoning and science (GPQA Diamond 90.4) at low active-parameter cost

Hunyuan Hy3

MiMo-V2.6-Pro is comparatively weak here — an Artificial Analysis Index score of 46 trails several established frontier models

Runs a 295B model at the cost of a 21B — only 21B parameters active per token

Hunyuan Hy3

Hunyuan Hy3 lists runs a 295B model at the cost of a 21B — only 21B parameters active per token among its strengths; MiMo-V2.6-Pro does not.

Clean, unrestricted Apache-2.0 license with no geographic carve-out

Hunyuan Hy3

Hunyuan Hy3 lists clean, unrestricted Apache-2.0 license with no geographic carve-out among its strengths; MiMo-V2.6-Pro does not.

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

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 carries the larger 1M tokens context.

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

MiMo-V2.6-Pro

Its 1M tokens window holds about 4.1× more than Hunyuan Hy3's 256K in a single prompt.

Reported Artificial Analysis Intelligence Index score of 46

MiMo-V2.6-Pro

Hunyuan Hy3 is comparatively weak here — benchmarks are largely self-reported, and the ultra-low hosted pricing is a limited promotion

Lowest cost at scale

Hunyuan Hy3

Its weights are open, so at volume you pay for your own hardware instead of MiMo-V2.6-Pro's $0.435/$0.87 per 1M tokens.

Largest single-prompt input

MiMo-V2.6-Pro

Its 1M tokens window is about 4.1× larger than Hunyuan Hy3's 256K, fitting roughly 1,573 pages in one prompt.

Which should you pick?

A cost-sensitive startup shipping high volume

Hunyuan Hy3

At Open weight (self-host / free) it undercuts MiMo-V2.6-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 frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost

Hunyuan Hy3

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.

Hunyuan Hy3: where it fits

A 295B Apache-2.0 open MoE that reaches frontier reasoning quality while running at roughly 21B active-parameter cost. Released July 6, 2026 by Tencent, it is built for frontier-level reported reasoning and science (GPQA Diamond 90.4) at low active-parameter cost, runs a 295B model at the cost of a 21B — only 21B parameters active per token, clean, unrestricted Apache-2.0 license with no geographic carve-out, and broad day-one ecosystem support plus an FP8 checkpoint.

Its trade-offs are real: benchmarks are largely self-reported, and the ultra-low hosted pricing is a limited promotion, and the hosted API is China-jurisdiction, and self-hosting a 295B MoE still needs serious hardware. As an open-weight model, its running cost is your own hardware rather than a per-token fee.

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

Hunyuan Hy3 and MiMo-V2.6-Pro overlap enough that the right pick depends on your specific job. Hunyuan Hy3 costs less per token; MiMo-V2.6-Pro holds the larger context; and each leads in its own area — Hunyuan Hy3 for frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost, 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 Hunyuan Hy3 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 Hunyuan Hy3 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, Hunyuan Hy3 leans toward frontier-level reported reasoning and science (gpqa diamond 90.4) at low active-parameter cost 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, Hunyuan Hy3 or MiMo-V2.6-Pro?

Hunyuan Hy3 is cheaper — Open weight (self-host / free) vs $0.435/$0.87 per 1M tokens.

Which has the bigger context window?

MiMo-V2.6-Pro — 1M tokens vs 256K, about 4.1× larger. Useful only if the model actually reasons over the full window, which not all do.

Can I use both Hunyuan Hy3 and MiMo-V2.6-Pro together?

Yes — a multi-model platform like LumiChats gives you Hunyuan Hy3, 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, Hunyuan Hy3 or MiMo-V2.6-Pro?

MiMo-V2.6-Pro — released September 22, 2026, about 3 months after Hunyuan Hy3.

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.