Llama 4 Maverick 17B Instruct FP8 vs Mistral Large 2 (2407)
Llama 4 Maverick 17B Instruct FP8 (2025) and Mistral Large 2 (2407) (2024) are compact production models from AI at Meta and MistralAI. Llama 4 Maverick 17B Instruct FP8 ships a 1M-token context window, while Mistral Large 2 (2407) ships a 128K-token context window. On MMLU PRO, Llama 4 Maverick 17B Instruct FP8 leads by 14.6 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 4 Maverick 17B Instruct FP8 is ~233% cheaper at $0.15/1M; pay for Mistral Large 2 (2407) only for provider fit.
Decision scorecard
Local evidence first| Signal | Llama 4 Maverick 17B Instruct FP8 | Mistral Large 2 (2407) |
|---|---|---|
| Best for | multimodal apps, long-context analysis, and provider-routed production | tool-calling agents and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1M | 128K |
| Cheapest output | $0.60/1M tokens | $1.50/1M tokens |
| Provider routes | 11 tracked | 7 tracked |
| Shared benchmarks | MMLU PRO leader | 3 shared |
Decision tradeoffs
- Llama 4 Maverick 17B Instruct FP8 holds a shared-benchmark lead on MMLU PRO, ahead by 14.6 points.
- Llama 4 Maverick 17B Instruct FP8 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 4 Maverick 17B Instruct FP8 has the lower cheapest tracked output price at $0.60/1M tokens.
- Llama 4 Maverick 17B Instruct FP8 has broader tracked provider coverage for fallback and route flexibility.
- Llama 4 Maverick 17B Instruct FP8 uniquely exposes Vision and Multimodal in local model data.
- Mistral Large 2 (2407) holds a shared-benchmark lead on HumanEval, ahead by 14.6 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 4 Maverick 17B Instruct FP8
$270
Cheapest tracked route/tier: OpenRouter
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Estimated monthly gap: $505. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Microsoft Foundry, OpenRouter, and AWS Bedrock; start route-level A/B tests there.
- Mistral Large 2 (2407) is $0.90/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Mistral Large 2 (2407) adds JSON / Tool use in local capability data.
- Provider overlap exists on Microsoft Foundry, OpenRouter, and AWS Bedrock; start route-level A/B tests there.
- Llama 4 Maverick 17B Instruct FP8 is $0.90/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Llama 4 Maverick 17B Instruct FP8 adds Vision and Multimodal in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2024-07-24 |
| Context window | 1M | 128K |
| Parameters | 400B (17B active) | 123B |
| Architecture | Mixture of Experts | Decoder Only |
| License | Llama 4 Community | Mistral License |
| Openness | Open weights | Open weights |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Restricted | Not permitted |
| Knowledge cutoff | 2024-08 | 2024-03 |
Pricing and availability
| Pricing attribute | Llama 4 Maverick 17B Instruct FP8 | Mistral Large 2 (2407) |
|---|---|---|
| Input price | $0.15/1M tokens | $0.50/1M tokens |
| Output price | $0.60/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Maverick 17B Instruct FP8 | Mistral Large 2 (2407) |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | 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 4 Maverick 17B Instruct FP8 | Mistral Large 2 (2407) |
|---|---|---|
| MMLU PRO | 80.5 | 65.9 |
| HumanEval | 77.4 | 92.0 |
| Chatbot Arena | 1365.0 | 1266.0 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 4 Maverick 17B Instruct FP8 at 80.5 and Mistral Large 2 (2407) at 65.9, with Llama 4 Maverick 17B Instruct FP8 ahead by 14.6 points; HumanEval has Llama 4 Maverick 17B Instruct FP8 at 77.4 and Mistral Large 2 (2407) at 92, with Mistral Large 2 (2407) ahead by 14.6 points; Chatbot Arena has Llama 4 Maverick 17B Instruct FP8 at 1365 and Mistral Large 2 (2407) at 1266, with Llama 4 Maverick 17B Instruct FP8 ahead by 99 points. The largest visible gap is 99 points on Chatbot Arena, 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: Llama 4 Maverick 17B Instruct FP8, multimodal input: Llama 4 Maverick 17B Instruct FP8, and 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 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.60/1M 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 4 Maverick 17B Instruct FP8 lower by about $0.51 per million blended tokens. Availability is 11 providers versus 7, so concentration risk also matters.
Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, 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 4 Maverick 17B Instruct FP8 or Mistral Large 2 (2407)?
Llama 4 Maverick 17B Instruct FP8 supports 1M 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 4 Maverick 17B Instruct FP8 or Mistral Large 2 (2407)?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.60/1M 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 4 Maverick 17B Instruct FP8 or Mistral Large 2 (2407) open source?
Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 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 vision, Llama 4 Maverick 17B Instruct FP8 or Mistral Large 2 (2407)?
Llama 4 Maverick 17B Instruct FP8 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 4 Maverick 17B Instruct FP8 or Mistral Large 2 (2407)?
Llama 4 Maverick 17B Instruct FP8 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 4 Maverick 17B Instruct FP8 and Mistral Large 2 (2407)?
Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. 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.