Llama 2 13B Chat vs Mistral Large 3 675B Instruct
Llama 2 13B Chat (2023) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 2 13B Chat ships a 4k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On Google-Proof Q&A, Mistral Large 3 675B Instruct leads by 2.1 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 2 13B Chat is ~400% cheaper at $0.10/1M; pay for Mistral Large 3 675B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 2 13B Chat | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 4k | 128k |
| Cheapest output | $0.50/1M tokens | $1.50/1M tokens |
| Provider routes | 11 tracked | 5 tracked |
| Shared benchmarks | 2 rows | Google-Proof Q&A leader |
Decision tradeoffs
- Llama 2 13B Chat has the lower cheapest tracked output price at $0.50/1M tokens.
- Llama 2 13B Chat has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 2 13B Chat for Coding, Classification, and JSON / Tool use.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on Google-Proof Q&A, ahead by 2.1 points.
- 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 13B Chat
$205
Cheapest tracked route/tier: Replicate API
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $570. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock and Microsoft Foundry; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $1/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 3 675B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on AWS Bedrock and Microsoft Foundry; start route-level A/B tests there.
- Llama 2 13B Chat is $1/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-12-01 |
| Context window | 4k | 128k |
| Parameters | 13B | 675B |
| 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 | 2022-09 | 2024-11 |
Pricing and availability
| Pricing attribute | Llama 2 13B Chat | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.50/1M tokens |
| Output price | $0.50/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 13B Chat | Mistral Large 3 675B 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
| Benchmark | Llama 2 13B Chat | Mistral Large 3 675B Instruct |
|---|---|---|
| Google-Proof Q&A | 41.8 | 43.9 |
| HumanEval | 59.3 | 92.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Llama 2 13B Chat at 41.8 and Mistral Large 3 675B Instruct at 43.9, with Mistral Large 3 675B Instruct ahead by 2.1 points; HumanEval has Llama 2 13B Chat at 59.3 and Mistral Large 3 675B Instruct at 92, with Mistral Large 3 675B Instruct ahead by 32.7 points. The largest visible gap is 32.7 points on HumanEval, 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 3 675B Instruct and multimodal input: Mistral Large 3 675B 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 13B Chat lists $0.10/1M input and $0.50/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 13B Chat lower by about $0.58 per million blended tokens. Availability is 11 providers versus 5, so concentration risk also matters.
Choose Llama 2 13B Chat when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Large 3 675B Instruct when long-context analysis 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 13B Chat or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct supports 128k tokens, while Llama 2 13B 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 13B Chat or Mistral Large 3 675B Instruct?
Llama 2 13B Chat is cheaper on tracked token pricing. Llama 2 13B Chat costs $0.10/1M input and $0.50/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 13B Chat or Mistral Large 3 675B Instruct open source?
Llama 2 13B Chat is listed under Llama 2 Community. Mistral Large 3 675B Instruct 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 13B Chat or Mistral Large 3 675B Instruct?
Mistral Large 3 675B 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 13B Chat or Mistral Large 3 675B Instruct?
Mistral Large 3 675B 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 13B Chat and Mistral Large 3 675B Instruct?
Llama 2 13B Chat is available on Alibaba Cloud PAI-EAS, AWS Bedrock, Microsoft Foundry, GCP Vertex AI, and DeepInfra. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, Mistral AI Studio, Microsoft Foundry, and Vercel AI Gateway. 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.