Grok 4.1 vs Llama 4 Maverick 17B
Grok 4.1 (2025) and Llama 4 Maverick 17B (2025) are frontier reasoning models from xAI and AI at Meta. Grok 4.1 ships a 2M-token context window, while Llama 4 Maverick 17B ships a 128k-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
Grok 4.1 fits 16x more tokens; pick it for long-context work and Llama 4 Maverick 17B for tighter calls.
Decision scorecard
Local evidence first| Signal | Grok 4.1 | Llama 4 Maverick 17B |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 2M | 128k |
| Cheapest output | - | $0.97/1M tokens |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Grok 4.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Grok 4.1 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Grok 4.1 for RAG, Agents, and Long context.
- Llama 4 Maverick 17B has broader tracked provider coverage for fallback and procurement flexibility.
- Llama 4 Maverick 17B uniquely exposes Structured outputs and Code execution in local model data.
- Local decision data tags Llama 4 Maverick 17B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Grok 4.1
Unavailable
No complete token price in local provider data
Llama 4 Maverick 17B
$435
Cheapest tracked route: AWS Bedrock
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Grok 4.1 and Llama 4 Maverick 17B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Llama 4 Maverick 17B adds Structured outputs and Code execution in local capability data.
- No overlapping tracked provider route is sourced for Llama 4 Maverick 17B and Grok 4.1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs and Code execution before moving production traffic.
- Grok 4.1 adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-17 | 2025-10-01 |
| Context window | 2M | 128k |
| Parameters | — | 17 |
| Architecture | - | - |
| License | Proprietary | Open Source |
| Knowledge cutoff | 2024-11 | 2024-08 |
Pricing and availability
| Pricing attribute | Grok 4.1 | Llama 4 Maverick 17B |
|---|---|---|
| Input price | - | $0.24/1M tokens |
| Output price | - | $0.97/1M tokens |
| Providers | - |
Capabilities
| Capability | Grok 4.1 | Llama 4 Maverick 17B |
|---|---|---|
| Vision | No | No |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | Yes |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: Grok 4.1, function calling: Grok 4.1, tool use: Grok 4.1, structured outputs: Llama 4 Maverick 17B, and code execution: Llama 4 Maverick 17B. Both models share multimodal input, 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: Grok 4.1 has no token price sourced yet and Llama 4 Maverick 17B has $0.24/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Grok 4.1 when reasoning depth and larger context windows are central to the workload. Choose Llama 4 Maverick 17B when coding workflow support and broader provider choice 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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Grok 4.1 or Llama 4 Maverick 17B?
Grok 4.1 supports 2M tokens, while Llama 4 Maverick 17B supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Grok 4.1 or Llama 4 Maverick 17B open source?
Grok 4.1 is listed under Proprietary. Llama 4 Maverick 17B is listed under Open Source. 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 multimodal input, Grok 4.1 or Llama 4 Maverick 17B?
Both Grok 4.1 and Llama 4 Maverick 17B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for reasoning mode, Grok 4.1 or Llama 4 Maverick 17B?
Grok 4.1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode 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, Grok 4.1 or Llama 4 Maverick 17B?
Grok 4.1 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 Grok 4.1 and Llama 4 Maverick 17B?
Grok 4.1 is available on the tracked providers still being sourced. Llama 4 Maverick 17B is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.