LLM Reference

Llama 3 Swallow 70B Instruct vs Xiaomi MiMo-V2-Pro

Llama 3 Swallow 70B Instruct (2024) and Xiaomi MiMo-V2-Pro (2026) are compact production models from Tokyo Institute of Technology and Xiaomi. Llama 3 Swallow 70B Instruct ships a 4k-token context window, while Xiaomi MiMo-V2-Pro ships a 1m-token context window. 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-Pro fits 250x more tokens; pick it for long-context work and Llama 3 Swallow 70B Instruct for tighter calls.

Decision scorecard

Local evidence first
SignalLlama 3 Swallow 70B InstructXiaomi MiMo-V2-Pro
Best forgeneral production evaluationtool-calling agents and long-context analysis
Decision fitGeneralRAG, Agents, and Long context
Context window4k1m
Cheapest output--
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Llama 3 Swallow 70B Instruct when...
  • Llama 3 Swallow 70B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
Choose Xiaomi MiMo-V2-Pro when...
  • Xiaomi MiMo-V2-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Xiaomi MiMo-V2-Pro uniquely exposes Function calling in local model data.
  • Local decision data tags Xiaomi MiMo-V2-Pro 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 Swallow 70B Instruct

Unavailable

No complete token price in local provider data

Xiaomi MiMo-V2-Pro

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Llama 3 Swallow 70B Instruct -> Xiaomi MiMo-V2-Pro
  • No overlapping tracked provider route is sourced for Llama 3 Swallow 70B Instruct and Xiaomi MiMo-V2-Pro; plan for SDK, billing, or endpoint changes.
  • Xiaomi MiMo-V2-Pro adds Function calling in local capability data.
Xiaomi MiMo-V2-Pro -> Llama 3 Swallow 70B Instruct
  • No overlapping tracked provider route is sourced for Xiaomi MiMo-V2-Pro and Llama 3 Swallow 70B Instruct; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling before moving production traffic.

Specs

Specification
Released2024-06-012026-03-19
Context window4k1m
Parameters70B1T
Architecturedecoder only-
LicenseLlama 2 CommunityProprietary
OpennessOpen weightsProprietary
Commercial useCommercial use with conditionsCommercial use with conditions
Knowledge cutoff20232024-12

Pricing and availability

Pricing attributeLlama 3 Swallow 70B InstructXiaomi MiMo-V2-Pro
Input price--
Output price--
Providers-

Pricing not yet sourced for either model.

Capabilities

CapabilityLlama 3 Swallow 70B InstructXiaomi MiMo-V2-Pro
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Xiaomi MiMo-V2-Pro. Both models share the core language-model surface, 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.

Pricing coverage is uneven: Llama 3 Swallow 70B Instruct has no token price sourced yet and Xiaomi MiMo-V2-Pro has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Llama 3 Swallow 70B Instruct when provider fit and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2-Pro when long-context analysis 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.

FAQ

Which has a larger context window, Llama 3 Swallow 70B Instruct or Xiaomi MiMo-V2-Pro?

Xiaomi MiMo-V2-Pro supports 1m tokens, while Llama 3 Swallow 70B Instruct supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Llama 3 Swallow 70B Instruct or Xiaomi MiMo-V2-Pro open source?

Llama 3 Swallow 70B Instruct is listed under Llama 2 Community. Xiaomi MiMo-V2-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 Swallow 70B Instruct or Xiaomi MiMo-V2-Pro?

Xiaomi MiMo-V2-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.

Where can I run Llama 3 Swallow 70B Instruct and Xiaomi MiMo-V2-Pro?

Llama 3 Swallow 70B Instruct is available on NVIDIA NIM. Xiaomi MiMo-V2-Pro is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick Llama 3 Swallow 70B Instruct over Xiaomi MiMo-V2-Pro?

Xiaomi MiMo-V2-Pro fits 250x more tokens; pick it for long-context work and Llama 3 Swallow 70B Instruct for tighter calls. If your workload also depends on provider fit, start with Llama 3 Swallow 70B Instruct; if it depends on long-context analysis, run the same evaluation with Xiaomi MiMo-V2-Pro.

Continue comparing

Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.