Llama 2 70B Chat vs Mistral Medium 3 Instruct
Llama 2 70B Chat (2023) and Mistral Medium 3 Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 2 70B Chat ships a 4k-token context window, while Mistral Medium 3 Instruct ships a 128k-token context window. On pricing, Mistral Medium 3 Instruct costs $0.40/1M 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 Medium 3 Instruct fits 32x more tokens; pick it for long-context work and Llama 2 70B Chat for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 2 70B Chat | Mistral Medium 3 Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Long context and Vision |
| Context window | 4k | 128k |
| Cheapest output | $1.50/1M tokens | $2/1M tokens |
| Provider routes | 14 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 2 70B Chat has the lower cheapest tracked output price at $1.50/1M tokens.
- Llama 2 70B Chat has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 2 70B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
- Mistral Medium 3 Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3 Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Medium 3 Instruct for 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 Medium 3 Instruct
$820
Cheapest tracked route/tier: Mistral AI Studio
Estimated monthly gap: $45.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Mistral Medium 3 Instruct is $0.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Structured outputs before moving production traffic.
- Mistral Medium 3 Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Llama 2 70B Chat is $0.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Llama 2 70B Chat adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-10-01 |
| Context window | 4k | 128k |
| Parameters | 70B | — |
| Architecture | decoder only | decoder only |
| License | Llama 2 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | 2025-03 |
Pricing and availability
| Pricing attribute | Llama 2 70B Chat | Mistral Medium 3 Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.40/1M tokens |
| Output price | $1.50/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 70B Chat | Mistral Medium 3 Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | No |
| 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 Medium 3 Instruct, multimodal input: Mistral Medium 3 Instruct, and structured outputs: Llama 2 70B Chat. 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.
For cost, Llama 2 70B Chat lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider, while Mistral Medium 3 Instruct lists $0.40/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 70B Chat lower by about $0.08 per million blended tokens. Availability is 14 providers versus 2, so concentration risk also matters.
Choose Llama 2 70B Chat when provider fit and broader provider choice are central to the workload. Choose Mistral Medium 3 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 Medium 3 Instruct?
Mistral Medium 3 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 Medium 3 Instruct?
Llama 2 70B Chat is cheaper on tracked token pricing. Llama 2 70B Chat costs $0.50/1M input and $1.50/1M output tokens. Mistral Medium 3 Instruct costs $0.40/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 70B Chat or Mistral Medium 3 Instruct open source?
Llama 2 70B Chat is listed under Llama 2 Community. Mistral Medium 3 Instruct 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 2 70B Chat or Mistral Medium 3 Instruct?
Mistral Medium 3 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 Medium 3 Instruct?
Mistral Medium 3 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 Medium 3 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 Medium 3 Instruct is available on NVIDIA NIM and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.