Together AI - Llama 3 8B Lite vs Mistral 7B v0.3
Together AI - Llama 3 8B Lite (2025) and Mistral 7B v0.3 (2024) are compact production models from AI at Meta and MistralAI. Together AI - Llama 3 8B Lite ships a 8K-token context window, while Mistral 7B v0.3 ships a 32K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Together AI - Llama 3 8B Lite is safer overall; choose Mistral 7B v0.3 when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Together AI - Llama 3 8B Lite | Mistral 7B v0.3 |
|---|---|---|
| Decision fit | Agents, Classification, and JSON / Tool use | Agents and JSON / Tool use |
| Context window | 8K | 32K |
| Cheapest output | $0.1/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Together AI - Llama 3 8B Lite has broader tracked provider coverage for fallback and procurement flexibility.
- Together AI - Llama 3 8B Lite uniquely exposes Tool use and Structured outputs in local model data.
- Local decision data tags Together AI - Llama 3 8B Lite for Agents, Classification, and JSON / Tool use.
- Mistral 7B v0.3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Mistral 7B v0.3 for Agents and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Together AI - Llama 3 8B Lite
$105
Cheapest tracked route: Together AI
Mistral 7B v0.3
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Together AI - Llama 3 8B Lite and Mistral 7B v0.3; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Tool use and Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for Mistral 7B v0.3 and Together AI - Llama 3 8B Lite; plan for SDK, billing, or endpoint changes.
- Together AI - Llama 3 8B Lite adds Tool use and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-07-15 | 2024-05-23 |
| Context window | 8K | 32K |
| Parameters | 8B | 7B |
| Architecture | decoder only | decoder only |
| License | Open Source | Apache 2.0 |
| Knowledge cutoff | 2024-03 | 2023-12 |
Pricing and availability
| Pricing attribute | Together AI - Llama 3 8B Lite | Mistral 7B v0.3 |
|---|---|---|
| Input price | $0.1/1M tokens | - |
| Output price | $0.1/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Together AI - Llama 3 8B Lite | Mistral 7B v0.3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on tool use: Together AI - Llama 3 8B Lite and structured outputs: Together AI - Llama 3 8B Lite. Both models share function calling, 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: Together AI - Llama 3 8B Lite has $0.1/1M input tokens and Mistral 7B v0.3 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 Together AI - Llama 3 8B Lite when provider fit and broader provider choice are central to the workload. Choose Mistral 7B v0.3 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 7B v0.3?
Mistral 7B v0.3 supports 32K 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.
Is Together AI - Llama 3 8B Lite or Mistral 7B v0.3 open source?
Together AI - Llama 3 8B Lite is listed under Open Source. Mistral 7B v0.3 is listed under Apache 2.0. 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 7B v0.3?
Both Together AI - Llama 3 8B Lite and Mistral 7B v0.3 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 7B v0.3?
Together AI - Llama 3 8B Lite 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.
Which is better for structured outputs, Together AI - Llama 3 8B Lite or Mistral 7B v0.3?
Together AI - Llama 3 8B Lite has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Together AI - Llama 3 8B Lite and Mistral 7B v0.3?
Together AI - Llama 3 8B Lite is available on Together AI. Mistral 7B v0.3 is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.