Llama 4 Maverick 17B Instruct FP8 vs Mistral Large 2.1 (2411)

Name: Llama 4 Maverick 17B Instruct FP8
Author: AI at Meta

Llama 4 Maverick 17B Instruct FP8 (2025) and Mistral Large 2.1 (2411) (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 2.1 (2411) ships a 128k-token context window. 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 fits 8x more tokens; pick it for long-context work and Mistral Large 2.1 (2411) for tighter calls.

Decision scorecard

Local evidence first

Signal	Llama 4 Maverick 17B Instruct FP8	Mistral Large 2.1 (2411)	How to read it
Best for	multimodal apps, long-context analysis, and provider-routed production	tool-calling agents	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	RAG, Agents, and Long context	Primary workload tags from local decision data.
Context window	1m	128k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$0.60/1M tokens	-	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	10 tracked	0 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	0 shared	0 shared	No shared benchmark scores are available for this pair yet.

Decision tradeoffs

Choose Llama 4 Maverick 17B Instruct FP8 when...

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 broader tracked provider coverage for fallback and procurement flexibility.
Llama 4 Maverick 17B Instruct FP8 uniquely exposes Vision and Multimodal in local model data.
Local decision data tags Llama 4 Maverick 17B Instruct FP8 for Coding, RAG, and Agents.

Choose Mistral Large 2.1 (2411) when...

Mistral Large 2.1 (2411) uniquely exposes Function calling and Tool use in local model data.
Local decision data tags Mistral Large 2.1 (2411) for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Requests / monthInput tokens / requestOutput tokens / request

Llama 4 Maverick 17B Instruct FP8

$270

Cheapest tracked route/tier: OpenRouter

Mistral Large 2.1 (2411)

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Llama 4 Maverick 17B Instruct FP8 -> Mistral Large 2.1 (2411)

No overlapping tracked provider route is sourced for Llama 4 Maverick 17B Instruct FP8 and Mistral Large 2.1 (2411); plan for SDK, billing, or endpoint changes.
Check replacement coverage for Vision and Multimodal before moving production traffic.
Mistral Large 2.1 (2411) adds Function calling and Tool use in local capability data.

Mistral Large 2.1 (2411) -> Llama 4 Maverick 17B Instruct FP8

No overlapping tracked provider route is sourced for Mistral Large 2.1 (2411) and Llama 4 Maverick 17B Instruct FP8; plan for SDK, billing, or endpoint changes.
Check replacement coverage for Function calling and Tool use before moving production traffic.
Llama 4 Maverick 17B Instruct FP8 adds Vision and Multimodal in local capability data.

Specs

Specification	Llama 4 Maverick 17B Instruct FP8 AI at Meta	Mistral Large 2.1 (2411) MistralAI
Released	2025-04-05	2024-11-18
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
Commercial use	Commercial use: conditional	Commercial use: non-commercial
Knowledge cutoff	2024-08	-

Pricing and availability

Pricing attribute	Llama 4 Maverick 17B Instruct FP8	Mistral Large 2.1 (2411)
Input price	$0.15/1M tokens	-
Output price	$0.60/1M tokens	-
Providers	Microsoft Foundry Together AI OpenRouter Fireworks AI DeepInfra GCP Vertex AI	-

Capabilities

Capability	Llama 4 Maverick 17B Instruct FP8	Mistral Large 2.1 (2411)
Vision	Yes	No
Multimodal	Yes	No
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 scores are currently available for this pair.

Deep dive

The capability footprint differs most on vision: Llama 4 Maverick 17B Instruct FP8, multimodal input: Llama 4 Maverick 17B Instruct FP8, function calling: Mistral Large 2.1 (2411), and tool use: Mistral Large 2.1 (2411). 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.

Pricing coverage is uneven: Llama 4 Maverick 17B Instruct FP8 has $0.15/1M input tokens and Mistral Large 2.1 (2411) has no token price sourced yet. Provider availability is 10 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Llama 4 Maverick 17B Instruct FP8 when long-context analysis, larger context windows, and broader provider choice are central to the workload. Choose Mistral Large 2.1 (2411) when provider fit 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 4 Maverick 17B Instruct FP8 or Mistral Large 2.1 (2411)?

Llama 4 Maverick 17B Instruct FP8 supports 1m tokens, while Mistral Large 2.1 (2411) supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Llama 4 Maverick 17B Instruct FP8 or Mistral Large 2.1 (2411) open source?

Llama 4 Maverick 17B Instruct FP8 is listed under Llama 4 Community. Mistral Large 2.1 (2411) 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 2.1 (2411)?

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 2.1 (2411)?

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.

Which is better for function calling, Llama 4 Maverick 17B Instruct FP8 or Mistral Large 2.1 (2411)?

Mistral Large 2.1 (2411) has the clearer documented function calling signal in this comparison. If function calling 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 2.1 (2411)?

Llama 4 Maverick 17B Instruct FP8 is available on Microsoft Foundry, Together AI, OpenRouter, Fireworks AI, and DeepInfra. Mistral Large 2.1 (2411) is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.

Both models

Llama 4 Maverick 17B Instruct FP8 Mistral Large 2.1 (2411)