MiMo-V2.6-Flash vs MiniMax M3
Xiaomi · China | MiniMax · China · Updated June 2026
Quick verdict
Pick MiMo-V2.6-Flash for same natively omnimodal design as pro (text, image, video, audio) at a fraction of the size and price or 309b total parameters, 15b active per token (sparse moe) — a hybrid attention mechanism for efficiency. Pick MiniMax M3 for open-weight 428b moe (~23b active per token) with a 1m-token context or native multimodal input — text, image and video. On a tight budget at scale, MiMo-V2.6-Flash is the value pick.
MiMo-V2.6-Flash (Xiaomi) and MiniMax M3 (MiniMax) are two of the models people most often weigh against each other in 2026. MiMo-V2.6-Flash is xiaomi's efficient omnimodal MoE model — 309B parameters, 15B active, MIT-licensed, priced at $0.14/$0.28 per million tokens. MiniMax M3 is miniMax's open-weight 428B multimodal model with a 1M context — strong reported coding (59.0 SWE-Bench Pro) at low entry pricing. Their biggest split is price, and the breakdown below shows exactly how that plays out for your workload.
Key differences at a glance
- ▸Price: MiMo-V2.6-Flash is about 1.6× cheaper on input ($0.14/$0.28 per 1M tokens vs $0.23/$0.96 per 1M tokens) — modest, but it adds up at steady volume.
- ▸Context window: both advertise 1M tokens (~1,573 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
- ▸Recency: MiMo-V2.6-Flash is the newer model by about 4 months (released September 21, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
| Spec | MiMo-V2.6-Flash | MiniMax M3 |
|---|---|---|
| Provider | Xiaomi (China) | MiniMax (China) |
| Released | September 21, 2026 | May 31, 2026 |
| Context window | 1M tokens (~1,573 pages) | 1M (~1,573 pages) |
| Price (in/out) | $0.14/$0.28 per 1M tokens | $0.23/$0.96 per 1M tokens |
| Open weight? | Yes — self-hostable | Yes — self-hostable |
| Modalities | text, image, video, audio | text, image, video, code |
| SWE-Bench Verified | Not published | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
Same natively omnimodal design as Pro (text, image, video, audio) at a fraction of the size and price
MiMo-V2.6-Flash
At $0.14/$0.28 per 1M tokens it undercuts MiniMax M3 ($0.23/$0.96 per 1M tokens), and that gap compounds at volume.
309B total parameters, 15B active per token (sparse MoE) — a hybrid attention mechanism for efficiency
MiMo-V2.6-Flash
MiniMax M3 is comparatively weak here — price doubles to $0.60/$2.40 above 512K tokens — not flat across 1M
MIT-licensed, self-hostable, and among the cheapest omnimodal options at $0.14/$0.28 per million tokens
MiMo-V2.6-Flash
Xiaomi's efficient omnimodal MoE model — 309B parameters, 15B active, MIT-licensed, priced at $0.14/$0.28 per million tokens — and it runs cheaper at $0.14/$0.28 per 1M tokens.
Open-weight 428B MoE (~23B active per token) with a 1M-token context
MiniMax M3
MiniMax M3 lists open-weight 428B MoE (~23B active per token) with a 1M-token context among its strengths; MiMo-V2.6-Flash does not.
Native multimodal input — text, image and video
MiniMax M3
MiniMax M3 lists native multimodal input — text, image and video among its strengths; MiMo-V2.6-Flash does not.
Reports 59.0 on SWE-Bench Pro (a strong open-weight score), surpassing GPT-5.5
MiniMax M3
MiMo-V2.6-Flash is comparatively weak here — same caveat as Pro: benchmark claims are largely self-reported by Xiaomi at launch, not yet independently verified at scale
Lowest cost at scale
MiMo-V2.6-Flash
At $0.14/$0.28 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-Flash
At $0.14/$0.28 per 1M tokens it undercuts MiniMax M3, and on millions of tokens that margin decides the monthly bill.
Anyone whose priority is same natively omnimodal design as pro (text, image, video, audio) at a fraction of the size and price
→ MiMo-V2.6-Flash
It is specifically built for that.
Anyone whose priority is open-weight 428b moe (~23b active per token) with a 1m-token context
→ MiniMax M3
That is its strongest area.
MiMo-V2.6-Flash: where it fits
Xiaomi's efficient omnimodal MoE model — 309B parameters, 15B active, MIT-licensed, priced at $0.14/$0.28 per million tokens. Released September 21, 2026 by Xiaomi, it is built for same natively omnimodal design as Pro (text, image, video, audio) at a fraction of the size and price, 309B total parameters, 15B active per token (sparse MoE) — a hybrid attention mechanism for efficiency, and mIT-licensed, self-hostable, and among the cheapest omnimodal options at $0.14/$0.28 per million tokens.
Its trade-offs are real: lower capacity than Pro — expect a real quality gap on the hardest reasoning and generation tasks, and same caveat as Pro: benchmark claims are largely self-reported by Xiaomi at launch, not yet independently verified at scale. At $0.14 in / $0.28 out per million tokens, it sits in the budget price band.
MiniMax M3: where it fits
MiniMax's open-weight 428B multimodal model with a 1M context — strong reported coding (59.0 SWE-Bench Pro) at low entry pricing. Released May 31, 2026 by MiniMax, it is built for open-weight 428B MoE (~23B active per token) with a 1M-token context, native multimodal input — text, image and video, reports 59.0 on SWE-Bench Pro (a strong open-weight score), surpassing GPT-5.5, and low entry pricing at $0.30/$1.20 per million up to 512K tokens.
Its trade-offs: price doubles to $0.60/$2.40 above 512K tokens — not flat across 1M, miniMax's own reported 80.5 SWE-Bench Verified figure is vendor-stated, not independently verified, sWE-Bench Pro is a different, harder benchmark than SWE-Bench Verified, and newer than M2.7 but with less independent testing so far. At $0.23 in / $0.96 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
MiMo-V2.6-Flash and MiniMax M3 overlap enough that the right pick depends on your specific job. MiMo-V2.6-Flash costs less per token; and each leads in its own area — MiMo-V2.6-Flash for same natively omnimodal design as pro (text, image, video, audio) at a fraction of the size and price, MiniMax M3 for open-weight 428b moe (~23b active per token) with a 1m-token context. Rather than crowning one, run the same hard task through both once and let the results decide.
Want both MiMo-V2.6-Flash and MiniMax M3 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 pricingFrequently asked questions
Is MiMo-V2.6-Flash or MiniMax M3 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, MiMo-V2.6-Flash leans toward same natively omnimodal design as pro (text, image, video, audio) at a fraction of the size and price while MiniMax M3 leans toward open-weight 428b moe (~23b active per token) with a 1m-token context, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, MiMo-V2.6-Flash or MiniMax M3?
MiMo-V2.6-Flash is cheaper — $0.14/$0.28 per 1M tokens vs $0.23/$0.96 per 1M tokens, roughly 1.6× apart on input.
Which has the bigger context window?
Both advertise 1M tokens (~1,573 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both MiMo-V2.6-Flash and MiniMax M3 together?
Yes — a multi-model platform like LumiChats gives you MiMo-V2.6-Flash, MiniMax M3 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, MiMo-V2.6-Flash or MiniMax M3?
MiMo-V2.6-Flash — released September 21, 2026, about 4 months after MiniMax M3.
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.