DeepSeek V4 Flash vs MiMo V2.6 Pro
At a Glance
| Compare |  DeepSeek V4 FlashDeepSeek |  MiMo V2.6 ProXiaomi |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.0868Openrouter ↗ · Aug 28, 2026 | $0.435Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | $0.87Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 22, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Flash | MiMo-V2.6-Pro |
|---|---|---|
| Developer | DeepSeek | Xiaomi |
| Family | Deepseek V4 Flash | Mimo V2 6 |
| Model | DeepSeek-V4-Flash | MiMo-V2.6-Pro |
| Version | DeepSeek-V4-Flash | MiMo-V2.6-Pro |
| Lifecycle | retired | active |
| Released | 2026-04-24 | 2026-09-21 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,049K |
| Total parameters | 290.9B | 1T |
| Active parameters | 13B | 42B |
| License | mit | MIT |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard) | Openrouter (Standard), Xiaomi MiMo (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
DeepSeek V4 Flash Capabilities
MiMo V2.6 Pro Capabilities
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 MiniMax-M3MiniMax | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs MiMo V2.6 Pro FAQs
Is DeepSeek V4 Flash or MiMo V2.6 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash and MiMo V2.6 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash or MiMo V2.6 Pro?+
DeepSeek V4 Flash is $0.0868 and MiMo V2.6 Pro is $0.435 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and MiMo V2.6 Pro is $0.87 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Flash or MiMo V2.6 Pro?+
Neither model has a larger sourced context window in this comparison. DeepSeek V4 Flash is 1,049K and MiMo V2.6 Pro is 1,049K.
Which performs better in benchmarks, DeepSeek V4 Flash or MiMo V2.6 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash or MiMo V2.6 Pro be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash is open weight; MiMo V2.6 Pro is open weight.
Can DeepSeek V4 Flash and MiMo V2.6 Pro understand images?+
DeepSeek V4 Flash is not documented with image input; MiMo V2.6 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash or MiMo V2.6 Pro?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and MiMo V2.6 Pro is 131K.
Do DeepSeek V4 Flash and MiMo V2.6 Pro support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. MiMo V2.6 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash or MiMo V2.6 Pro?+
DeepSeek V4 Flash has 5 sourced provider routes; MiMo V2.6 Pro has 2, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash or MiMo V2.6 Pro?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.