Llama 3 70B Instruct vs Xiaomi MiMo-V2.5-Pro
Llama 3 70B Instruct (2024) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from AI at Meta and Xiaomi. Llama 3 70B Instruct ships a 8K-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-token context window. On pricing, Llama 3 70B Instruct costs $0.4/1M input tokens versus $1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 3 70B Instruct is ~150% cheaper at $0.4/1M; pay for Xiaomi MiMo-V2.5-Pro only for coding workflow support.
Specs
| Released | 2024-04-18 | 2026-04-22 |
| Context window | 8K | 1M |
| Parameters | 70B | 1T |
| Architecture | decoder only | mixture of experts |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Llama 3 70B Instruct | Xiaomi MiMo-V2.5-Pro | |
|---|---|---|
| Input price | $0.4/1M tokens | $1/1M tokens |
| Output price | $0.4/1M tokens | $3/1M tokens |
| Providers |
Capabilities
| Llama 3 70B Instruct | Xiaomi MiMo-V2.5-Pro | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Xiaomi MiMo-V2.5-Pro and tool use: Xiaomi MiMo-V2.5-Pro. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Llama 3 70B Instruct lists $0.4/1M input and $0.4/1M output tokens, while Xiaomi MiMo-V2.5-Pro lists $1/1M input and $3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3 70B Instruct lower by about $1.2 per million blended tokens. Availability is 18 providers versus 1, so concentration risk also matters.
Choose Llama 3 70B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Llama 3 70B Instruct or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1M tokens, while Llama 3 70B Instruct supports 8K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Llama 3 70B Instruct or Xiaomi MiMo-V2.5-Pro?
Llama 3 70B Instruct is cheaper on tracked token pricing. Llama 3 70B Instruct costs $0.4/1M input and $0.4/1M output tokens. Xiaomi MiMo-V2.5-Pro costs $1/1M input and $3/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3 70B Instruct or Xiaomi MiMo-V2.5-Pro open source?
Llama 3 70B Instruct is listed under Open Source. Xiaomi MiMo-V2.5-Pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for function calling, Llama 3 70B Instruct or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Llama 3 70B Instruct or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Llama 3 70B Instruct and Xiaomi MiMo-V2.5-Pro?
Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Xiaomi MiMo-V2.5-Pro is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.