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Together AI - Llama 3 8B Lite vs Mistral Small 3

Together AI - Llama 3 8B Lite (2025) and Mistral Small 3 (2025) are compact production models from AI at Meta and MistralAI. Together AI - Llama 3 8B Lite ships a 8K-token context window, while Mistral Small 3 ships a 33K-token context window. On pricing, Together AI - Llama 3 8B Lite costs $0.1/1M input tokens versus $0.1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Mistral Small 3 fits 4x more tokens; pick it for long-context work and Together AI - Llama 3 8B Lite for tighter calls.

Decision scorecard

Local evidence first
SignalTogether AI - Llama 3 8B LiteMistral Small 3
Decision fitAgents, Classification, and JSON / Tool useAgents, Classification, and JSON / Tool use
Context window8K33K
Cheapest output$0.1/1M tokens$0.3/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Together AI - Llama 3 8B Lite when...
  • Together AI - Llama 3 8B Lite has the lower cheapest tracked output price at $0.1/1M tokens.
  • Local decision data tags Together AI - Llama 3 8B Lite for Agents, Classification, and JSON / Tool use.
Choose Mistral Small 3 when...
  • Mistral Small 3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Together AI - Llama 3 8B Lite

Together AI - Llama 3 8B Lite

$105

Cheapest tracked route: Together AI

Mistral Small 3

$155

Cheapest tracked route: Together AI

Estimated monthly gap: $50.00. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Together AI - Llama 3 8B Lite -> Mistral Small 3
  • Provider overlap exists on Together AI; start route-level A/B tests there.
  • Mistral Small 3 is $0.2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Mistral Small 3 -> Together AI - Llama 3 8B Lite
  • Provider overlap exists on Together AI; start route-level A/B tests there.
  • Together AI - Llama 3 8B Lite is $0.2/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.

Specs

Specification
Released2025-07-152025-01-01
Context window8K33K
Parameters8B
Architecturedecoder onlydecoder only
LicenseOpen SourceOpen Source
Knowledge cutoff2024-03-

Pricing and availability

Pricing attributeTogether AI - Llama 3 8B LiteMistral Small 3
Input price$0.1/1M tokens$0.1/1M tokens
Output price$0.1/1M tokens$0.3/1M tokens
Providers

Capabilities

CapabilityTogether AI - Llama 3 8B LiteMistral Small 3
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint is close: both models cover function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.

For cost, Together AI - Llama 3 8B Lite lists $0.1/1M input and $0.1/1M output tokens, while Mistral Small 3 lists $0.1/1M input and $0.3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Llama 3 8B Lite lower by about $0.06 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Together AI - Llama 3 8B Lite when provider fit are central to the workload. Choose Mistral Small 3 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.

FAQ

Which has a larger context window, Together AI - Llama 3 8B Lite or Mistral Small 3?

Mistral Small 3 supports 33K tokens, while Together AI - Llama 3 8B Lite 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, Together AI - Llama 3 8B Lite or Mistral Small 3?

Together AI - Llama 3 8B Lite is cheaper on tracked token pricing. Together AI - Llama 3 8B Lite costs $0.1/1M input and $0.1/1M output tokens. Mistral Small 3 costs $0.1/1M input and $0.3/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Together AI - Llama 3 8B Lite or Mistral Small 3 open source?

Together AI - Llama 3 8B Lite is listed under Open Source. Mistral Small 3 is listed under Open Source. 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, Together AI - Llama 3 8B Lite or Mistral Small 3?

Both Together AI - Llama 3 8B Lite and Mistral Small 3 expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Which is better for tool use, Together AI - Llama 3 8B Lite or Mistral Small 3?

Both Together AI - Llama 3 8B Lite and Mistral Small 3 expose tool use. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Together AI - Llama 3 8B Lite and Mistral Small 3?

Together AI - Llama 3 8B Lite is available on Together AI. Mistral Small 3 is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.