Llama 3 8B Instruct vs Mistral Large 2
Llama 3 8B Instruct (2024) and Mistral Large 2 (2025) are compact production models from AI at Meta and MistralAI. Llama 3 8B Instruct ships a 8k-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, Mistral Large 2 leads by 29.2 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 3 8B Instruct is ~1500% cheaper at $0.03/1M; pay for Mistral Large 2 only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 3 8B Instruct | Mistral Large 2 |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 8k | 128k |
| Cheapest output | $0.04/1M tokens | $2.40/1M tokens |
| Provider routes | 17 tracked | 4 tracked |
| Shared benchmarks | 4 rows | MMLU PRO leader |
Decision tradeoffs
- Llama 3 8B Instruct has the lower cheapest tracked output price at $0.04/1M tokens.
- Llama 3 8B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Llama 3 8B Instruct for Coding, Classification, and JSON / Tool use.
- Mistral Large 2 holds a shared-benchmark lead on MMLU PRO, ahead by 29.2 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 3 8B Instruct
$34.00
Cheapest tracked route/tier: OpenRouter
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $950. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter, IBM watsonx, and AWS Bedrock; start route-level A/B tests there.
- Mistral Large 2 is $2.36/1M 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, IBM watsonx, and OpenRouter; start route-level A/B tests there.
- Llama 3 8B Instruct is $2.36/1M 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 | 2024-04-18 | 2025-11-25 |
| Context window | 8k | 128k |
| Parameters | 8B | 123B |
| Architecture | decoder only | decoder only |
| License | Llama 3 Community | Mistral License |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use with conditions | Non-commercial only |
| Knowledge cutoff | 2023-03 | 2025-07 |
Pricing and availability
| Pricing attribute | Llama 3 8B Instruct | Mistral Large 2 |
|---|---|---|
| Input price | $0.03/1M tokens | $0.48/1M tokens |
| Output price | $0.04/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3 8B Instruct | 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 3 8B Instruct | Mistral Large 2 |
|---|---|---|
| MMLU PRO | 40.5 | 69.7 |
| HumanEval | 68.2 | 84.8 |
| Massive Multitask Language Understanding | 76.9 | 84.0 |
| HellaSwag | 91.1 | 93.8 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3 8B Instruct at 40.5 and Mistral Large 2 at 69.7, with Mistral Large 2 ahead by 29.2 points; HumanEval has Llama 3 8B Instruct at 68.2 and Mistral Large 2 at 84.8, with Mistral Large 2 ahead by 16.6 points; Massive Multitask Language Understanding has Llama 3 8B Instruct at 76.9 and Mistral Large 2 at 84, with Mistral Large 2 ahead by 7.1 points. The largest visible gap is 29.2 points on MMLU PRO, 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 3 8B Instruct lists $0.03/1M input and $0.04/1M 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 8B Instruct lower by about $1.02 per million blended tokens. Availability is 17 providers versus 4, so concentration risk also matters.
Choose Llama 3 8B Instruct when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Mistral Large 2 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 3 8B Instruct or Mistral Large 2?
Mistral Large 2 supports 128k tokens, while Llama 3 8B Instruct supports 8k 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 8B Instruct or Mistral Large 2?
Llama 3 8B Instruct is cheaper on tracked token pricing. Llama 3 8B Instruct costs $0.03/1M input and $0.04/1M 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 8B Instruct or Mistral Large 2 open source?
Llama 3 8B 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 8B Instruct 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 3 8B Instruct 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 3 8B Instruct and Mistral Large 2?
Llama 3 8B Instruct is available on AWS Bedrock, DeepInfra, OctoAI API (Deprecated), Fireworks AI, and Alibaba Cloud PAI-EAS. 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: 2026-05-22. Data sourced from public model cards and provider documentation.