Llama 2 70B Chat vs Mistral Small 3.1 24B Instruct
Llama 2 70B Chat (2023) and Mistral Small 3.1 24B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 2 70B Chat ships a 4k-token context window, while Mistral Small 3.1 24B Instruct ships a 128k-token context window. On pricing, Mistral Small 3.1 24B Instruct costs $0.10/1M input tokens versus $0.50/1M 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.
Mistral Small 3.1 24B Instruct is ~400% cheaper at $0.10/1M; pay for Llama 2 70B Chat only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 2 70B Chat | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Classification and JSON / Tool use | RAG, Long context, and Vision |
| Context window | 4k | 128k |
| Cheapest output | $1.50/1M tokens | $0.30/1M tokens |
| Provider routes | 14 tracked | 6 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 2 70B Chat has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
- Mistral Small 3.1 24B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3.1 24B Instruct has the lower cheapest tracked output price at $0.30/1M tokens.
- Mistral Small 3.1 24B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 2 70B Chat
$775
Cheapest tracked route/tier: Databricks Foundation Model Serving
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $620. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI, NVIDIA NIM, and Together AI; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct is $1.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Mistral Small 3.1 24B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on NVIDIA NIM, Together AI, and Fireworks AI; start route-level A/B tests there.
- Llama 2 70B Chat is $1.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-12-15 |
| Context window | 4k | 128k |
| Parameters | 70B | 24B |
| Architecture | decoder only | dense |
| License | Llama 2 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | 2023-10 |
Pricing and availability
| Pricing attribute | Llama 2 70B Chat | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.10/1M tokens |
| Output price | $1.50/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 70B Chat | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Small 3.1 24B Instruct and multimodal input: Mistral Small 3.1 24B Instruct. 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 2 70B Chat lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider, while Mistral Small 3.1 24B Instruct lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 3.1 24B Instruct lower by about $0.64 per million blended tokens. Availability is 14 providers versus 6, so concentration risk also matters.
Choose Llama 2 70B Chat when provider fit and broader provider choice are central to the workload. Choose Mistral Small 3.1 24B Instruct when long-context analysis, 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which has a larger context window, Llama 2 70B Chat or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct supports 128k tokens, while Llama 2 70B Chat supports 4k 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 2 70B Chat or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct is cheaper on tracked token pricing. Llama 2 70B Chat costs $0.50/1M input and $1.50/1M output tokens. Mistral Small 3.1 24B Instruct costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 70B Chat or Mistral Small 3.1 24B Instruct open source?
Llama 2 70B Chat is listed under Llama 2 Community. Mistral Small 3.1 24B Instruct 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 vision, Llama 2 70B Chat or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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.
Which is better for multimodal input, Llama 2 70B Chat or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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 2 70B Chat and Mistral Small 3.1 24B Instruct?
Llama 2 70B Chat is available on Databricks Foundation Model Serving, Microsoft Foundry, GCP Vertex AI, Alibaba Cloud PAI-EAS, and AWS Bedrock. Mistral Small 3.1 24B Instruct is available on Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, and Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.