Llama 4 Maverick 17B
llama-4-maverick-17b
Last refreshed 2026-05-11. Next refresh: weekly.
Llama 4 Maverick 17B is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Decision context: Coding task fit, 1 tracked provider route, and research from 2026-04-19.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 128k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$0.970
AWS Bedrock per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Grade C
Ranked by benchmark score divided by cheapest output price
Freshness
2026-04-19
Researched 32d ago
Top use-case fit
Coding
Q/$ C3 relevant benchmarks in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Batch in / out | Route |
|---|---|---|---|---|
| AWS Bedrock | $0.240 | $0.970 | $0.120 / $0.485 | Serverless |
Benchmark peer barsfor Coding
Migration checks
No linked migration route is available for this model yet.
About
Multimodal Llama 4 with 128 experts, optimized for fast responses with minimal computational cost
Llama 4 Maverick 17B has a 128K-token context window.
Llama 4 Maverick 17B input tokens at $0.24/1M, output at $0.97/1M.
Capabilities
Benchmark Scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| HumanEval | 77.4 | 2025-04 | Meta AI |
| Aider Polyglot | 15.6 | 2026-04 | https://aider.chat/docs/leaderboards |
| BigCodeBench | 49.7 | 2025-04 (Instruct Pass@1) | https://bigcode-bench.github.io/results.json |
| Google-Proof Q&A | 67.1 | diamond | Artificial Analysis |
Rankings
Created by
Large-scale open-source AI for social technologies.