Llama 2 7B Chat vs Mistral Medium 3
Llama 2 7B Chat (2023) and Mistral Medium 3 (2025) are compact production models from AI at Meta and MistralAI. Llama 2 7B Chat ships a 4K-token context window, while Mistral Medium 3 ships a 128K-token context window. On pricing, Llama 2 7B Chat costs $0.05/1M input tokens versus $0.40/1M 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.
Llama 2 7B Chat is ~700% cheaper at $0.05/1M; pay for Mistral Medium 3 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Llama 2 7B Chat | Mistral Medium 3 |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 4K | 128K |
| Cheapest output | $0.25/1M tokens | $2/1M tokens |
| Provider routes | 10 tracked | 5 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 2 7B Chat has the lower cheapest tracked output price at $0.25/1M tokens.
- Llama 2 7B Chat has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 2 7B Chat for Classification and JSON / Tool use.
- Mistral Medium 3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3 uniquely exposes Vision, Multimodal, and JSON / Tool use in local model data.
- Local decision data tags Mistral Medium 3 for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 2 7B Chat
$103
Cheapest tracked route/tier: Replicate API
Mistral Medium 3
$820
Cheapest tracked route/tier: Mistral AI Studio
Estimated monthly gap: $718. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Microsoft Foundry and GCP Vertex AI; start route-level A/B tests there.
- Mistral Medium 3 is $1.75/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Medium 3 adds Vision, Multimodal, and JSON / Tool use in local capability data.
- Provider overlap exists on Microsoft Foundry and GCP Vertex AI; start route-level A/B tests there.
- Llama 2 7B Chat is $1.75/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-05-01 |
| Context window | 4K | 128K |
| Parameters | 7B | — |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Restricted |
| Knowledge cutoff | 2022-09 | 2025-03 |
Pricing and availability
| Pricing attribute | Llama 2 7B Chat | Mistral Medium 3 |
|---|---|---|
| Input price | $0.05/1M tokens | $0.40/1M tokens |
| Output price | $0.25/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 7B Chat | Mistral Medium 3 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Medium 3, multimodal input: Mistral Medium 3, JSON / Tool use: Mistral Medium 3, JSON / Tool use: Mistral Medium 3, and code execution: Mistral Medium 3. 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 7B Chat lists $0.05/1M input and $0.25/1M output tokens on the cheapest tracked provider, while Mistral Medium 3 lists $0.40/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 7B Chat lower by about $0.77 per million blended tokens. Availability is 10 providers versus 5, so concentration risk also matters.
Choose Llama 2 7B Chat when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Medium 3 when coding workflow support 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.
FAQ
Which has a larger context window, Llama 2 7B Chat or Mistral Medium 3?
Mistral Medium 3 supports 128K tokens, while Llama 2 7B 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 7B Chat or Mistral Medium 3?
Llama 2 7B Chat is cheaper on tracked token pricing. Llama 2 7B Chat costs $0.05/1M input and $0.25/1M output tokens. Mistral Medium 3 costs $0.40/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 7B Chat or Mistral Medium 3 open source?
Llama 2 7B Chat is listed under Llama 2 Community. Mistral Medium 3 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 7B Chat or Mistral Medium 3?
Mistral Medium 3 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 7B Chat or Mistral Medium 3?
Mistral Medium 3 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 7B Chat and Mistral Medium 3?
Llama 2 7B Chat is available on Alibaba Cloud PAI-EAS, Baseten API, Fireworks AI, Microsoft Foundry, and GCP Vertex AI. Mistral Medium 3 is available on NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, OpenRouter, and GCP Vertex AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-18. Data sourced from public model cards and provider documentation.