Llama 4 Maverick 17B 128E Instruct vs GPT-4.1
At a Glance
| Compare |  GPT-4.1OpenAI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #43 of 570.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 0.0–66.7 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.1875Openrouter ↗ · Oct 19, 2026 | $1.00Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.6525Openrouter ↗ · Oct 19, 2026 | $4.00Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,000K | 1,048K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 |
|---|---|---|
| Aider Polyglotpolyglot-225-5dc9490bb35f · pass_rate_2 · leader | 15.5630% of row best · percent · whole; aider 0.81.2.dev | 52.44100% of row best · percent · diff; aider 0.81.4.dev |
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,287.1993% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.93484207, 1291.44351277]; votes 39450; rank 261 | 1,382.89100% of row best · rating · gpt-4.1-2025-04-14; 95% CI [1379.19934172, 1386.58437112]; votes 50312; rank 172 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · leader | 1,141.6394% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.58229133, 1150.67926500]; votes 6922; rank 120 | 1,210.62100% of row best · rating · gpt-4.1-2025-04-14; 95% CI [1203.95207689, 1217.29091390]; votes 41017; rank 87 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 3 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Llama 4 Maverick 17b 128e Instruct | Gpt 4 1 |
| Model | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 |
| Version | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 1,048K |
| Total parameters | 401.6B | Unknown |
| Active parameters | 17B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Llama 4 Maverick 17B 128E Instruct Capabilities
GPT-4.1 Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  Hy4 previewTencent | cross-developer peerstext | |
 DeepSeek-V4-Flash-BaseDeepSeek | vs | cross-developer peerstext | |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | cross-developer peersimage, text | |
| vs | family variantstext | ||
| vs | family variantsimage, text | ||
| vs | family variantsimage, text | ||
| vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text | |
| vs | Mistral-Small-4-119B-2603Mistral AI | cross-developer peersimage, text | |
| vs | cross-developer peerstext | ||
| vs | GPT-5.6 SolOpenAI | cross-developer peersimage, text | |
| vs |  Inkling-SmallThinking Machines Lab | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Llama 4 Maverick 17B 128E Instruct vs GPT-4.1 FAQs
Is Llama 4 Maverick 17B 128E Instruct or GPT-4.1 better for coding?+
GPT-4.1 leads the current coding subset with 1 benchmark win to 0. This describes only the matched benchmark rows shown above.
Which is cheaper, Llama 4 Maverick 17B 128E Instruct or GPT-4.1?+
Llama 4 Maverick 17B 128E Instruct is $0.1875 and GPT-4.1 is $1.00 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Llama 4 Maverick 17B 128E Instruct is $0.6525 and GPT-4.1 is $4.00 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric.
Which has a larger context window, Llama 4 Maverick 17B 128E Instruct or GPT-4.1?+
GPT-4.1 has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000,000 tokens and GPT-4.1 supports 1,047,576 tokens.
Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or GPT-4.1?+
GPT-4.1 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Llama 4 Maverick 17B 128E Instruct or GPT-4.1 be self-hosted?+
Llama 4 Maverick 17B 128E Instruct is documented as self-hostable; GPT-4.1 is documented as not self-hostable. Llama 4 Maverick 17B 128E Instruct is open weight; GPT-4.1 is not marked open weight.
Can Llama 4 Maverick 17B 128E Instruct and GPT-4.1 understand images?+
Llama 4 Maverick 17B 128E Instruct is documented with image input; GPT-4.1 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Maverick 17B 128E Instruct or GPT-4.1?+
GPT-4.1 has a sourced maximum output of 32,768 tokens; Llama 4 Maverick 17B 128E Instruct's maximum output is not reported. A larger limit cannot be determined.
Do Llama 4 Maverick 17B 128E Instruct and GPT-4.1 support reasoning and tool use?+
Llama 4 Maverick 17B 128E Instruct: tool calling and image input. GPT-4.1: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Maverick 17B 128E Instruct or GPT-4.1?+
Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; GPT-4.1 has 2, so GPT-4.1 has broader tracked availability.
Which offers better value, Llama 4 Maverick 17B 128E Instruct or GPT-4.1?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.