Llama 3.3 70B Instruct vs MiMo V2.6 Pro
At a Glance
| Compare |  MiMo V2.6 ProXiaomi | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Openrouter ↗ · Sep 23, 2026 | $0.435Openrouter ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.32Openrouter ↗ · Sep 23, 2026 | $0.87Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 131K | 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 | Llama-3.3-70B-Instruct | MiMo-V2.6-Pro |
|---|---|---|
| Developer | Meta | Xiaomi |
| Family | Llama 3 3 70b Instruct | Mimo V2 6 |
| Model | Llama-3.3-70B-Instruct | MiMo-V2.6-Pro |
| Version | Llama-3.3-70B-Instruct | MiMo-V2.6-Pro |
| Lifecycle | active | active |
| Released | 2024-12-06 | 2026-09-21 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 131K | 1,049K |
| Total parameters | 70.6B | 1T |
| Active parameters | Unknown | 42B |
| License | llama3.3 | MIT |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openrouter (Standard), Xiaomi MiMo (Standard) |
| Capabilities | chat, generation, tools | chat, generation, reasoning, tools |
Llama 3.3 70B Instruct Capabilities
MiMo V2.6 Pro Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 3.3 70B Instruct vs MiMo V2.6 Pro FAQs
Is Llama 3.3 70B Instruct or MiMo V2.6 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.3 70B Instruct and MiMo V2.6 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 3.3 70B Instruct or MiMo V2.6 Pro?+
Llama 3.3 70B Instruct is $0.10 and MiMo V2.6 Pro is $0.435 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric. Llama 3.3 70B Instruct is $0.32 and MiMo V2.6 Pro is $0.87 per million tokens, so Llama 3.3 70B Instruct is cheaper on this metric.
Which has a larger context window, Llama 3.3 70B Instruct or MiMo V2.6 Pro?+
MiMo V2.6 Pro has the larger sourced context window. Llama 3.3 70B Instruct supports 131K and MiMo V2.6 Pro supports 1,049K.
Which performs better in benchmarks, Llama 3.3 70B Instruct 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 Llama 3.3 70B Instruct or MiMo V2.6 Pro be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 3.3 70B Instruct is open weight; MiMo V2.6 Pro is open weight.
Can Llama 3.3 70B Instruct and MiMo V2.6 Pro understand images?+
Llama 3.3 70B Instruct 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, Llama 3.3 70B Instruct or MiMo V2.6 Pro?+
Neither has a larger sourced maximum output. Llama 3.3 70B Instruct is — and MiMo V2.6 Pro is 131K.
Do Llama 3.3 70B Instruct and MiMo V2.6 Pro support reasoning and tool use?+
Llama 3.3 70B Instruct: tool calling. MiMo V2.6 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 3.3 70B Instruct or MiMo V2.6 Pro?+
Llama 3.3 70B Instruct has 3 sourced provider routes; MiMo V2.6 Pro has 2, so Llama 3.3 70B Instruct has broader tracked availability.
Which offers better value, Llama 3.3 70B Instruct 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.