Llama 4 Maverick 17B 128E Instruct vs GPT-4.1 Nano
Benchmark Performance
Available Benchmarks
| Benchmark | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 Nano |
|---|---|---|
| Aider Polyglotpolyglot-225-5dc9490bb35f · pass_rate_2 · leader | 15.56100% of row best · percent · whole; aider 0.81.2.dev | 8.8957% of row best · percent · whole; aider 0.81.4.dev |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,287.13100% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243 | 1,284.64100% of row best · rating · gpt-4.1-nano-2025-04-14; 95% CI [1276.99177350, 1292.27849322]; votes 6103; rank 246 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,141.47100% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.42029588, 1150.51619722]; votes 6936; rank 102 | 1,063.2393% of row best · rating · gpt-4.1-nano-2025-04-14; 95% CI [1044.95116252, 1081.50991534]; votes 1211; rank 120 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 2 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 Nano |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Llama 4 Maverick 17b 128e Instruct | Gpt 4 1 |
| Model | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 Nano |
| Version | Llama-4-Maverick-17B-128E-Instruct | GPT-4.1 Nano |
| 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 |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Llama 4 Maverick 17B 128E Instruct Capabilities
GPT-4.1 Nano Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs | GPT-6 AstraOpenAI | cross-developer peersimage, text | |
Claude Fable 5.1Anthropic | vs | cross-developer peersimage, text | |
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 DeepSeek-V4-ProDeepSeek | vs | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peersimage, text | |
| vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text | |
| vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text | |
 MiniMax-M3MiniMax | vs | cross-developer peersimage, text | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
Seed 2.1 ProByteDance Seed | vs | cross-developer peersimage, text | |
| vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Llama 4 Maverick 17B 128E Instruct vs GPT-4.1 Nano FAQs
Is Llama 4 Maverick 17B 128E Instruct or GPT-4.1 Nano better for coding?+
Llama 4 Maverick 17B 128E Instruct 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 Nano?+
Llama 4 Maverick 17B 128E Instruct is $0.20 and GPT-4.1 Nano is $0.050 per million tokens, so GPT-4.1 Nano is cheaper on this metric. Llama 4 Maverick 17B 128E Instruct is $0.696 and GPT-4.1 Nano is $0.20 per million tokens, so GPT-4.1 Nano is cheaper on this metric.
Which has a larger context window, Llama 4 Maverick 17B 128E Instruct or GPT-4.1 Nano?+
GPT-4.1 Nano has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and GPT-4.1 Nano supports 1,048K.
Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or GPT-4.1 Nano?+
Llama 4 Maverick 17B 128E Instruct 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 Nano be self-hosted?+
Llama 4 Maverick 17B 128E Instruct is the only model in this pair currently marked as self-hostable. Llama 4 Maverick 17B 128E Instruct is open weight; GPT-4.1 Nano is not marked open weight.
Can Llama 4 Maverick 17B 128E Instruct and GPT-4.1 Nano understand images?+
Llama 4 Maverick 17B 128E Instruct is documented with image input; GPT-4.1 Nano 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 Nano?+
Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and GPT-4.1 Nano is 33K.
Do Llama 4 Maverick 17B 128E Instruct and GPT-4.1 Nano support reasoning and tool use?+
Llama 4 Maverick 17B 128E Instruct: tool calling and image input. GPT-4.1 Nano: 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 Nano?+
Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; GPT-4.1 Nano has 2, so GPT-4.1 Nano has broader tracked availability.
Which offers better value, Llama 4 Maverick 17B 128E Instruct or GPT-4.1 Nano?+
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.