Llama 3 70B Instruct vs Xiaomi MiMo-V2.5
Llama 3 70B Instruct (2024) and Xiaomi MiMo-V2.5 (2026) are frontier reasoning models from AI at Meta and Xiaomi. Llama 3 70B Instruct ships a 8k-token context window, while Xiaomi MiMo-V2.5 ships a 1.05m-token context window. On MMLU PRO, Xiaomi MiMo-V2.5 leads by 27.5 pts. On pricing, Xiaomi MiMo-V2.5 costs $0.14/1M input tokens versus $0.40/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Xiaomi MiMo-V2.5 is ~186% cheaper at $0.14/1M; pay for Llama 3 70B Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 3 70B Instruct | Xiaomi MiMo-V2.5 |
|---|---|---|
| Best for | provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, Classification, and JSON / Tool use | RAG, Agents, and Long context |
| Context window | 8k | 1.05m |
| Cheapest output | $0.40/1M tokens | $0.28/1M tokens |
| Provider routes | 18 tracked | 2 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- Llama 3 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3 70B Instruct for Coding, Classification, and JSON / Tool use.
- Xiaomi MiMo-V2.5 holds a shared-benchmark lead on MMLU PRO, ahead by 27.5 points.
- Xiaomi MiMo-V2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- Xiaomi MiMo-V2.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Xiaomi MiMo-V2.5 for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3 70B Instruct
$420
Cheapest tracked route/tier: Hyperbolic AI Inference
Xiaomi MiMo-V2.5
$182
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $238. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Xiaomi MiMo-V2.5 is $0.12/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Xiaomi MiMo-V2.5 adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Llama 3 70B Instruct is $0.12/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-04-18 | 2026-04-22 |
| Context window | 8k | 1.05m |
| Parameters | 70B | — |
| Architecture | decoder only | - |
| License | Llama 3 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Llama 3 70B Instruct | Xiaomi MiMo-V2.5 |
|---|---|---|
| Input price | $0.40/1M tokens | $0.14/1M tokens |
| Output price | $0.40/1M tokens | $0.28/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3 70B Instruct | Xiaomi MiMo-V2.5 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 3 70B Instruct | Xiaomi MiMo-V2.5 |
|---|---|---|
| MMLU PRO | 57.4 | 84.9 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3 70B Instruct at 57.4 and Xiaomi MiMo-V2.5 at 84.9, with Xiaomi MiMo-V2.5 ahead by 27.5 points. The largest visible gap is 27.5 points on MMLU PRO, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Xiaomi MiMo-V2.5, multimodal input: Xiaomi MiMo-V2.5, reasoning mode: Xiaomi MiMo-V2.5, function calling: Xiaomi MiMo-V2.5, and tool use: Xiaomi MiMo-V2.5. 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 $0.40/1M input and $0.40/1M output tokens on the cheapest tracked provider, while Xiaomi MiMo-V2.5 lists $0.14/1M input and $0.28/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Xiaomi MiMo-V2.5 lower by about $0.22 per million blended tokens. Availability is 18 providers versus 2, so concentration risk also matters.
Choose Llama 3 70B Instruct when provider fit and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2.5 when reasoning depth, larger context windows, and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Llama 3 70B Instruct or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 supports 1.05m 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?
Xiaomi MiMo-V2.5 is cheaper on tracked token pricing. Llama 3 70B Instruct costs $0.40/1M input and $0.40/1M output tokens. Xiaomi MiMo-V2.5 costs $0.14/1M input and $0.28/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3 70B Instruct or Xiaomi MiMo-V2.5 open source?
Llama 3 70B Instruct is listed under Llama 3 Community. Xiaomi MiMo-V2.5 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 vision, Llama 3 70B Instruct or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Llama 3 70B Instruct or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 has the clearer documented multimodal input signal in this comparison. If multimodal input 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?
Llama 3 70B Instruct is available on GCP Vertex AI, AWS Bedrock, Microsoft Foundry, NVIDIA NIM, and DeepInfra. Xiaomi MiMo-V2.5 is available on OpenRouter and Xiaomi. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.