Llama 3.2 1B Instruct vs Mistral Large 2 (2407)
Llama 3.2 1B Instruct (2024) and Mistral Large 2 (2407) (2024) are compact production models from AI at Meta and MistralAI. Both ship a 128K-token context window. On MMLU PRO, Mistral Large 2 (2407) leads by 45.9 pts. On pricing, Llama 3.2 1B Instruct costs $0.03/1M input tokens versus $0.50/1M 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 1B Instruct is ~1752% cheaper at $0.03/1M; pay for Mistral Large 2 (2407) only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 3.2 1B Instruct | Mistral Large 2 (2407) |
|---|---|---|
| Best for | provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | Coding, RAG, and Long context | Coding, RAG, and Agents |
| Context window | 128K | 128K |
| Cheapest output | $0.20/1M tokens | $1.50/1M tokens |
| Provider routes | 7 tracked | 7 tracked |
| Shared benchmarks | 3 shared | MMLU PRO leader |
Decision tradeoffs
- Llama 3.2 1B Instruct has the lower cheapest tracked output price at $0.20/1M tokens.
- Local decision data tags Llama 3.2 1B Instruct for Coding, RAG, and Long context.
- Mistral Large 2 (2407) holds a shared-benchmark lead on MMLU PRO, ahead by 45.9 points.
- Mistral Large 2 (2407) uniquely exposes JSON / Tool use in local model data.
- Local decision data tags Mistral Large 2 (2407) 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 1B Instruct
$71.85
Cheapest tracked route/tier: Cloudflare Workers AI
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $703. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
- Mistral Large 2 (2407) is $1.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 (2407) adds JSON / Tool use in local capability data.
- Provider overlap exists on OpenRouter and AWS Bedrock; start route-level A/B tests there.
- Llama 3.2 1B Instruct is $1.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-09-25 | 2024-07-24 |
| Context window | 128K | 128K |
| Parameters | 1.23B | 123B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Mistral License |
| Openness | Open weights | Open weights |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Not permitted |
| Knowledge cutoff | 2023-12 | 2024-03 |
Pricing and availability
| Pricing attribute | Llama 3.2 1B Instruct | Mistral Large 2 (2407) |
|---|---|---|
| Input price | $0.03/1M tokens | $0.50/1M tokens |
| Output price | $0.20/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.2 1B Instruct | Mistral Large 2 (2407) |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / 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 3.2 1B Instruct | Mistral Large 2 (2407) |
|---|---|---|
| MMLU PRO | 20.0 | 65.9 |
| HumanEval | 28.1 | 92.0 |
| Massive Multitask Language Understanding | 49.3 | 84.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3.2 1B Instruct at 20 and Mistral Large 2 (2407) at 65.9, with Mistral Large 2 (2407) ahead by 45.9 points; HumanEval has Llama 3.2 1B Instruct at 28.1 and Mistral Large 2 (2407) at 92, with Mistral Large 2 (2407) ahead by 63.9 points; Massive Multitask Language Understanding has Llama 3.2 1B Instruct at 49.3 and Mistral Large 2 (2407) at 84, with Mistral Large 2 (2407) ahead by 34.7 points. The largest visible gap is 63.9 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 JSON / Tool use: Mistral Large 2 (2407). 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 3.2 1B Instruct lists $0.03/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 1B Instruct lower by about $0.72 per million blended tokens. Availability is 7 providers versus 7, so concentration risk also matters.
Choose Llama 3.2 1B Instruct when provider fit and lower input-token cost are central to the workload. Choose Mistral Large 2 (2407) when provider fit 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 3.2 1B Instruct or Mistral Large 2 (2407)?
Llama 3.2 1B Instruct supports 128K tokens, while Mistral Large 2 (2407) 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 1B Instruct or Mistral Large 2 (2407)?
Llama 3.2 1B Instruct is cheaper on tracked token pricing. Llama 3.2 1B Instruct costs $0.03/1M input and $0.20/1M output tokens. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.2 1B Instruct or Mistral Large 2 (2407) open source?
Llama 3.2 1B Instruct is listed under Llama 3 Community. Mistral Large 2 (2407) 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 JSON / Tool use, Llama 3.2 1B Instruct or Mistral Large 2 (2407)?
Mistral Large 2 (2407) has the clearer documented JSON / Tool use signal in this comparison. If JSON / Tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Llama 3.2 1B Instruct or Mistral Large 2 (2407)?
Both Llama 3.2 1B Instruct and Mistral Large 2 (2407) expose structured outputs. 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 1B Instruct and Mistral Large 2 (2407)?
Llama 3.2 1B Instruct is available on Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, and Bitdeer AI. Mistral Large 2 (2407) is available on Microsoft Foundry, IBM watsonx, OpenRouter, AWS Bedrock, and Chutes AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-10-17. Data sourced from public model cards and provider documentation.