MiMo-V2.5 vs MiMo-V2.6-Flash
Xiaomi · China | Xiaomi · China · Updated June 2026
Quick verdict
Both are Xiaomi models. MiMo-V2.6-Flash is the newer, generally stronger default; reach for MiMo-V2.5 when a specific cost or latency profile matters more than the latest capabilities.
MiMo-V2.5 and MiMo-V2.6-Flash are both Xiaomi models, so the real question is not which lab to trust but which tier fits your workload and budget. MiMo-V2.5 is xiaomi's cheap omnimodal model — Pro-level agentic perception across image and video at a fraction of the cost. 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. Since both come from the same lab, the comparison below focuses on the tier-and-cost trade-offs that actually separate them.
Key differences at a glance
- ▸Context window: 1M vs 1M tokens — within a few percent of each other, so treat this as a tie and test on your own long inputs, since usable recall varies by model.
- ▸Recency: MiMo-V2.6-Flash is the newer model by about 5 months (released September 21, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
| Spec | MiMo-V2.5 | MiMo-V2.6-Flash |
|---|---|---|
| Provider | Xiaomi (China) | Xiaomi (China) |
| Released | April 22, 2026 | September 21, 2026 |
| Context window | 1M (~1,500 pages) | 1M tokens (~1,573 pages) |
| Price (in/out) | $0.14/$0.28 per 1M tokens | $0.14/$0.28 per 1M tokens |
| Open weight? | Yes — self-hostable | Yes — self-hostable |
| Modalities | text, image, audio, video, code | text, image, video, audio |
| SWE-Bench Verified | Not published | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
Native omnimodal — strong image and video understanding
MiMo-V2.5
MiMo-V2.5 lists native omnimodal — strong image and video understanding among its strengths; MiMo-V2.6-Flash does not.
Very low cost (~half the inference of the Pro tier)
MiMo-V2.5
MiMo-V2.5 lists very low cost (~half the inference of the Pro tier) among its strengths; MiMo-V2.6-Flash does not.
Agent-framework integration
MiMo-V2.5
MiMo-V2.5 lists agent-framework integration among its strengths; MiMo-V2.6-Flash does not.
Same natively omnimodal design as Pro (text, image, video, audio) at a fraction of the size and price
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 is the newer of the two.
309B total parameters, 15B active per token (sparse MoE) — a hybrid attention mechanism for efficiency
MiMo-V2.6-Flash
MiMo-V2.6-Flash lists 309B total parameters, 15B active per token (sparse MoE) — a hybrid attention mechanism for efficiency among its strengths; MiMo-V2.5 does not.
MIT-licensed, self-hostable, and among the cheapest omnimodal options at $0.14/$0.28 per million tokens
MiMo-V2.6-Flash
MiMo-V2.6-Flash lists mIT-licensed, self-hostable, and among the cheapest omnimodal options at $0.14/$0.28 per million tokens among its strengths; MiMo-V2.5 does not.
Which should you pick?
Someone analysing very long documents or codebases
→ MiMo-V2.6-Flash
Larger 1M tokens window fits more in one prompt.
Anyone whose priority is native omnimodal — strong image and video understanding
→ MiMo-V2.5
It is specifically built for that.
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
That is its strongest area.
MiMo-V2.5: where it fits
Xiaomi's cheap omnimodal model — Pro-level agentic perception across image and video at a fraction of the cost. Released April 22, 2026 by Xiaomi, it is built for native omnimodal — strong image and video understanding, very low cost (~half the inference of the Pro tier), agent-framework integration, and 1M context for full documents in one pass.
Its trade-offs are real: not the deepest reasoning tier (see V2.5-Pro), and limited Western tooling and support. At $0.14 in / $0.28 out per million tokens, it sits in the budget price band.
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: 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.
The bottom line for this matchup
Because MiMo-V2.5 and MiMo-V2.6-Flash come from the same lab (Xiaomi), they share the same training philosophy and ecosystem — the decision is purely tier vs. cost. MiMo-V2.6-Flash is the more capable, more recent option; the other earns its place only when its price or latency profile fits a specific job better. Most teams should default to MiMo-V2.6-Flash and drop down only with a concrete reason.
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See pricingFrequently asked questions
Is MiMo-V2.5 or MiMo-V2.6-Flash 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-V2.5 leans toward native omnimodal — strong image and video understanding while MiMo-V2.6-Flash leans toward same natively omnimodal design as pro (text, image, video, audio) at a fraction of the size and price, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, MiMo-V2.5 or MiMo-V2.6-Flash?
They are priced almost identically, so cost will not decide between them.
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.
Should I upgrade from MiMo-V2.5 to MiMo-V2.6-Flash?
Since both are Xiaomi models, the newer one (MiMo-V2.6-Flash) is usually the better default unless you need a specific cost or latency profile from the other.
Which is newer, MiMo-V2.5 or MiMo-V2.6-Flash?
MiMo-V2.6-Flash — released September 21, 2026, about 5 months after MiMo-V2.5.
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.