Llama 3.2 11B Instruct vs Mistral Large 2
Llama 3.2 11B Instruct (2025) and Mistral Large 2 (2025) are compact production models from AI at Meta and MistralAI. Llama 3.2 11B Instruct ships a 128k-token context window, while Mistral Large 2 ships a 128k-token context window. On pricing, Llama 3.2 11B Instruct costs $0.20/1M input tokens versus $0.48/1M 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 3.2 11B Instruct is ~140% cheaper at $0.20/1M; pay for Mistral Large 2 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Llama 3.2 11B Instruct | Mistral Large 2 |
|---|---|---|
| Best for | multimodal apps | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | RAG, Long context, and Vision | Coding, RAG, and Agents |
| Context window | 128k | 128k |
| Cheapest output | $0.27/1M tokens | $2.40/1M tokens |
| Provider routes | 1 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Llama 3.2 11B Instruct has the lower cheapest tracked output price at $0.27/1M tokens.
- Local decision data tags Llama 3.2 11B Instruct for RAG, Long context, and Vision.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 uniquely exposes Function calling and Tool use 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 3.2 11B Instruct
$228
Cheapest tracked route/tier: AWS Bedrock
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $757. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Mistral Large 2 is $2.13/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 adds Function calling and Tool use in local capability data.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Llama 3.2 11B Instruct is $2.13/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-09-01 | 2025-11-25 |
| Context window | 128k | 128k |
| Parameters | 11B | 123B |
| Architecture | - | decoder only |
| License | Llama 3 Community | Mistral License |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | 2023-12 | 2025-07 |
Pricing and availability
| Pricing attribute | Llama 3.2 11B Instruct | Mistral Large 2 |
|---|---|---|
| Input price | $0.20/1M tokens | $0.48/1M tokens |
| Output price | $0.27/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.2 11B Instruct | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | 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
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on function calling: Mistral Large 2 and tool use: Mistral Large 2. Both models share vision, multimodal input, and 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 3.2 11B Instruct lists $0.20/1M input and $0.27/1M 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 3.2 11B Instruct lower by about $0.84 per million blended tokens. Availability is 1 providers versus 4, so concentration risk also matters.
Choose Llama 3.2 11B Instruct when vision-heavy evaluation and lower input-token cost are central to the workload. Choose Mistral Large 2 when vision-heavy evaluation and broader provider choice 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 3.2 11B Instruct or Mistral Large 2?
Llama 3.2 11B Instruct supports 128k tokens, while Mistral Large 2 supports 128k 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 3.2 11B Instruct or Mistral Large 2?
Llama 3.2 11B Instruct is cheaper on tracked token pricing. Llama 3.2 11B Instruct costs $0.20/1M input and $0.27/1M 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 3.2 11B Instruct or Mistral Large 2 open source?
Llama 3.2 11B Instruct is listed under Llama 3 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 3.2 11B Instruct or Mistral Large 2?
Both Llama 3.2 11B Instruct and Mistral Large 2 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Llama 3.2 11B Instruct or Mistral Large 2?
Both Llama 3.2 11B Instruct and Mistral Large 2 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 3.2 11B Instruct and Mistral Large 2?
Llama 3.2 11B Instruct is available on 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: 2026-06-04. Data sourced from public model cards and provider documentation.