Model comparison

vs

MiMo V2.6 Pro vs DeepSeek V4.1 Flash

Xiaomi against DeepSeek, compared on listed price, real workload cost, context and capabilities.

The short answer

  • On DeepSWE v1.1, as each maker reports it, MiMo V2.6 Pro scores 71.9 and DeepSeek V4.1 Flash 74.2.
  • DeepSeek V4.1 Flash lists the lower input price, while MiMo V2.6 Pro lists the lower output price.

Side-by-side specs

SpecMiMo V2.6 ProDeepSeek V4.1 Flash
ProviderXiaomiDeepSeek
Input price$0.435/M$0.3/M
Output price$0.87/M$1.2/M
Cached input$0.004/M—
Blended price (3:1)$0.544/M$0.525/M
Context window1M tokens1M tokens
Max output128k tokens384k tokens
InputText, Images, Video, AudioText, Images
Structured outputYesYes
WeightsOpen (MIT)Open (MIT)
ReleasedSeptember 2026September 2026
DeepSWE v1.1 (maker-reported)71.974.2
Terminal Bench 2.1 (maker-reported)89.990.6

Same work, both models

WorkloadMiMo V2.6 ProDeepSeek V4.1 Flash
One chat reply3,000 tokens in, 500 outMiMo V2.6 Pro costs 1.2× as much as DeepSeek V4.1 Flash$0.0017$0.0015
Summarise a 100-page report50,000 tokens in, 1,500 out, one requestMiMo V2.6 Pro costs 1.4× as much as DeepSeek V4.1 Flash$0.02$0.02
1,000 classification calls500 tokens in, 20 out, per call$0.23$0.17
Coding-agent session2M tokens in across ~60 turns, 60,000 out, no cache$0.92$0.67

At listed rates. Token counts are typical sizes, not measurements.

MiMo V2.6 Pro pricing notes

  • Xiaomi lists a batch API tier at half the real-time rate.
  • Cache writes are free for a limited time; Xiaomi gives no end date.

DeepSeek V4.1 Flash pricing notes

  • The listed price is DeepSeek's peak rate. DeepSeek's own API charges half outside 01:00-04:00 and 06:00-10:00 UTC on weekdays; other serving providers bill the peak rate.
  • Cache hits bill $0.006 per 1M on some serving providers and $0.03 per 1M on others.

When to pick which

MiMo V2.6 Pro

Xiaomi's flagship open-weights omnimodal model, a 1.02T-total, 42B-active mixture-of-experts with a 1M window. It replaces the text-only MiMo V2.5 Pro and adds image, video and audio input.

Pick it if

  • you want Xiaomi's strongest model for agent, coding and computer-use work
  • you need image, video or audio input on a 1M window
  • you want MIT-licensed weights you can self-host

Skip it if

  • you only need Flash-level quality; Flash scores close to Pro on most maker-reported rows at a third of the price

DeepSeek V4.1 Flash

DeepSeek V4.1 Flash is DeepSeek's open-weight mixture-of-experts model that reads text and images with a 1M-token context. It replaced V4 Flash behind DeepSeek's own deepseek-flash route and costs less than V4 Flash here.

Pick it if

  • you want the cheapest DeepSeek model here, and the only one with image input
  • you need long replies: DeepSeek's API allows up to 384K output tokens
  • you want MIT-licensed weights you can self-host

Skip it if

  • you need video or audio input; it takes text and images only

FAQ

Which is better, MiMo V2.6 Pro or DeepSeek V4.1 Flash?

On DeepSWE v1.1, as each maker reports it, MiMo V2.6 Pro scores 71.9 and DeepSeek V4.1 Flash 74.2. These are each maker's own numbers, not a controlled head-to-head; the spec table lists every benchmark both publish.

Which is cheaper, MiMo V2.6 Pro or DeepSeek V4.1 Flash?

DeepSeek V4.1 Flash lists the lower input price, while MiMo V2.6 Pro lists the lower output price. On a coding-agent session (2M tokens in, 60,000 out) MiMo V2.6 Pro costs $0.92 and DeepSeek V4.1 Flash $0.67.

Can I switch between MiMo V2.6 Pro and DeepSeek V4.1 Flash mid-task?

Yes. In an Octomind session, /model octohub:mimo-v2.6-pro and /model octohub:deepseek-v4.1-flash switch models without losing the conversation, so you can draft on one and review on the other.

Try either model

Switch between models inside the same Octomind session.

Prices from the catalog of 2026-10-25