Llama 4 Maverick 17B Instruct FP8 vs Mistral Large 3 675B Instruct
Llama 4 Maverick 17B Instruct FP8 (2025) and Mistral Large 3 675B Instruct (2025) 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 3 675B Instruct ships a 128K-token context window. On τ-bench, Mistral Large 3 675B Instruct leads by 1.7 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Llama 4 Maverick 17B Instruct FP8 is ~233% cheaper at $0.15/1M; pay for Mistral Large 3 675B Instruct only for provider fit.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-04-05 | 2025-12-01 |
| Context window | 1M | 128K |
| Parameters | 17B | 675B |
| Architecture | mixture of experts | decoder only |
| License | Open Source | 1 |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 4 Maverick 17B Instruct FP8 | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.15/1M tokens | $0.5/1M tokens |
| Output price | $0.6/1M tokens | $1.5/1M tokens |
| Providers |
Capabilities
| Capability | Llama 4 Maverick 17B Instruct FP8 | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
| Benchmark | Llama 4 Maverick 17B Instruct FP8 | Mistral Large 3 675B Instruct |
|---|---|---|
| τ-bench | 68.5 | 70.2 |
Deep dive
On shared benchmark coverage, τ-bench has Llama 4 Maverick 17B Instruct FP8 at 68.5 and Mistral Large 3 675B Instruct at 70.2, with Mistral Large 3 675B Instruct ahead by 1.7 points. The largest visible gap is 1.7 points on τ-bench, 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 is close: both models cover structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Llama 4 Maverick 17B Instruct FP8 lists $0.15/1M input and $0.6/1M output tokens, while Mistral Large 3 675B Instruct lists $0.5/1M input and $1.5/1M 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 7 providers versus 3, 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 3 675B Instruct 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 3 675B Instruct?
Llama 4 Maverick 17B Instruct FP8 supports 1M tokens, while Mistral Large 3 675B Instruct 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 3 675B Instruct?
Llama 4 Maverick 17B Instruct FP8 is cheaper on tracked token pricing. Llama 4 Maverick 17B Instruct FP8 costs $0.15/1M input and $0.6/1M output tokens. Mistral Large 3 675B Instruct costs $0.5/1M input and $1.5/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 4 Maverick 17B Instruct FP8 or Mistral Large 3 675B Instruct open source?
Llama 4 Maverick 17B Instruct FP8 is listed under Open Source. Mistral Large 3 675B Instruct is listed under 1. 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 structured outputs, Llama 4 Maverick 17B Instruct FP8 or Mistral Large 3 675B Instruct?
Both Llama 4 Maverick 17B Instruct FP8 and Mistral Large 3 675B Instruct 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 4 Maverick 17B Instruct FP8 and Mistral Large 3 675B Instruct?
Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Mistral Large 3 675B Instruct is available on AWS Bedrock, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Llama 4 Maverick 17B Instruct FP8 over Mistral Large 3 675B Instruct?
Llama 4 Maverick 17B Instruct FP8 is ~233% cheaper at $0.15/1M; pay for Mistral Large 3 675B Instruct only for provider fit. If your workload also depends on long-context analysis, start with Llama 4 Maverick 17B Instruct FP8; if it depends on provider fit, run the same evaluation with Mistral Large 3 675B Instruct.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.