LLM Reference

Llama 4 Maverick 17B Instruct FP8

Released
2025-04-05
Last refreshed
2026-07-09
Status
Researched 106d ago
Open weightsCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

Llama 4 Maverick 17B Instruct FP8 is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 1m context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Family
Llama 4
Released
2025-04-05
Context
1m
Parameters
400B (17B active)
Architecture
Mixture of Experts
Knowledge cutoff
2024-08
Specialization
general
Openness
Open weights
License
Llama 4 CommunityCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Large-scale open-source AI for social technologies.

Menlo Park, California, United States
Founded 2013
Website
Pricing
Output / 1M
$0.600
Input / 1M
$0.150

Cheapest of 11 routes · DeepInfra

About

Meta's Llama 4 Maverick 17B with 128 experts, FP8-optimized for cost-efficient inference. Supports native Model Router integration on Microsoft Foundry.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ B

4 relevant benchmarks in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ A

1 relevant benchmark in the decision map.

Provider price ladder

Compare all 11

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
DeepInfra$0.150$0.600
Serverless
OpenRouter$0.150$0.600
Serverless
Novita AI$0.270$0.850
Serverless
Together AI$0.270$0.850
Serverless

Available via routers & gateways(16)

Capabilities

VisionMultimodalStructured Outputs

Benchmark peer barsfor Coding

Benchmark scores(10)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
HumanEval77.42025-04Observed 2026-04-09—Source
Aider Polyglot15.62026-04Observed 2026-04-14—Source
BigCodeBench49.72025-04 (Instruct Pass@1)Observed 2026-04-14—Source
Chatbot Arena1365.0—Observed 2026-04-15—Source
Google-Proof Q&A67.1diamondObserved 2026-04-18—Source
τ-bench68.5τ-benchObserved 2026-04-24—Source
MMMU Pro59.6LLM-Stats aggregatorObserved 2026-06-07—Source
Massive Multi-discipline Multimodal Understanding73.4—Observed 2025-04-05—Source
MMLU PRO80.5—Observed 2025-04-05—Source
LiveCodeBench43.4—Observed 2025-04-05—Source

Migration checks

No linked migration route is available for this model yet.

Compare Llama 4 Maverick 17B Instruct FP8 with other models