Llama 2 70B Chat vs Mistral Large 3 675B Instruct
Llama 2 70B Chat (2023) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 2 70B Chat ships a 4k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On pricing, both list $0.50/1M input and $1.50/1M output tokens on the cheapest tracked route. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 3 675B 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 Large 3 675B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 4k | 128k |
| Cheapest output | $1.50/1M tokens | $1.50/1M tokens |
| Provider routes | 14 tracked | 6 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 2 70B Chat has broader tracked provider coverage for fallback and route flexibility.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
- Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 3 675B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Large 3 675B Instruct 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 70B Chat
$775
Cheapest tracked route/tier: Databricks Foundation Model Serving
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $0.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock, NVIDIA NIM, and Microsoft Foundry; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on Microsoft Foundry, AWS Bedrock, and NVIDIA NIM; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-12-01 |
| Context window | 4k | 128k |
| Parameters | 70B | 675B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2024-11 |
Pricing and availability
| Pricing attribute | Llama 2 70B Chat | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.50/1M tokens | $0.50/1M tokens |
| Output price | $1.50/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 70B Chat | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / 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 scores are currently available for this pair.
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.