Llama 2 70B Chat vs Mistral Large 2
Llama 2 70B Chat (2023) and Mistral Large 2 (2025) are compact production models from AI at Meta and MistralAI. Llama 2 70B Chat ships a 4k-token context window, while Mistral Large 2 ships a 128k-token context window. On Massive Multitask Language Understanding, Mistral Large 2 leads by 15.1 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Pick Mistral Large 2 for general evaluation; Llama 2 70B Chat is better when provider fit matters more.
Decision scorecard
Local evidence first| Signal | Llama 2 70B Chat | Mistral Large 2 |
|---|---|---|
| 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 | $1.50/1M tokens | $2.40/1M tokens |
| Provider routes | 14 tracked | 4 tracked |
| Shared benchmarks | 1 rows | Massive Multitask Language Understanding leader |
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.
- Local decision data tags Llama 2 70B Chat for Classification and JSON / Tool use.
- Mistral Large 2 holds a shared-benchmark lead on Massive Multitask Language Understanding, ahead by 15.1 points.
- Mistral Large 2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Large 2 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 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $209. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on IBM watsonx and AWS Bedrock; start route-level A/B tests there.
- Mistral Large 2 is $0.90/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 adds Vision, Multimodal, and Function calling in local capability data.
- Provider overlap exists on AWS Bedrock and IBM watsonx; start route-level A/B tests there.
- Llama 2 70B Chat is $0.90/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-11-25 |
| Context window | 4k | 128k |
| Parameters | 70B | 123B |
| Architecture | decoder only | decoder only |
| License | Llama 2 Community | Mistral License |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | - | 2025-07 |
Pricing and availability
| Pricing attribute | Llama 2 70B Chat | Mistral Large 2 |
|---|---|---|
| Input price | $0.50/1M tokens | $0.48/1M tokens |
| Output price | $1.50/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 70B Chat | Mistral Large 2 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 2 70B Chat | Mistral Large 2 |
|---|---|---|
| Massive Multitask Language Understanding | 68.9 | 84.0 |
Deep dive
On shared benchmark coverage, Massive Multitask Language Understanding has Llama 2 70B Chat at 68.9 and Mistral Large 2 at 84, with Mistral Large 2 ahead by 15.1 points. The largest visible gap is 15.1 points on Massive Multitask Language Understanding, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Mistral Large 2, multimodal input: Mistral Large 2, function calling: Mistral Large 2, and tool use: Mistral Large 2. 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 Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 70B Chat lower by about $0.26 per million blended tokens. Availability is 14 providers versus 4, so concentration risk also matters.
Choose Llama 2 70B Chat when provider fit and broader provider choice are central to the workload. Choose Mistral Large 2 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.
FAQ
Which has a larger context window, Llama 2 70B Chat or Mistral Large 2?
Mistral Large 2 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 Large 2?
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 Large 2 costs $0.48/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 70B Chat or Mistral Large 2 open source?
Llama 2 70B Chat is listed under Llama 2 Community. Mistral Large 2 is listed under Mistral License. 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 Large 2?
Mistral Large 2 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 Large 2?
Mistral Large 2 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 Large 2?
Llama 2 70B Chat is available on Databricks Foundation Model Serving, Microsoft Foundry, GCP Vertex AI, Alibaba Cloud PAI-EAS, and AWS Bedrock. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. 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.