Llama-4-Maverick-17B-128E-Instruct vs GPT-5 Nano
Benchmark Performance
Available Benchmarks
| Benchmark | Llama-4-Maverick-17B-128E-Instruct | GPT-5 Nano |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,287.1398% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243 | 1,319.84100% of row best · rating · gpt-5-nano-high; 95% CI [1312.99438214, 1326.68844296]; votes 8128; rank 214 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · statistical tie | 1,141.4798% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.42029588, 1150.51619722]; votes 6936; rank 102 | 1,159.24100% of row best · rating · gpt-5-nano-high; 95% CI [1148.19623356, 1170.28699037]; votes 3950; rank 96 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark wins | 1 benchmark winOverall lead |
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-5 Nano |
|---|---|---|
| Developer | Meta | Openai |
| Family | Llama 4 Maverick 17b 128e Instruct | Gpt 5 |
| Model | Llama-4-Maverick-17B-128E-Instruct | GPT-5 Nano |
| Version | Llama-4-Maverick-17B-128E-Instruct | GPT-5 Nano |
| Lifecycle | active | active |
| Released | 2025-04-05 | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Text, Image | Unknown |
| Output modalities | Text | Unknown |
| Context window | 1,000,000 | 400,000 |
| Total parameters | 401,583,781,376 | Unknown |
| Active parameters | 17,000,000,000 | 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, reasoning, structured_outputs, tools |
12 comparable fields · 10 material differences · Interactive comparison only; indexing gate not met
Llama-4-Maverick-17B-128E-Instruct Capabilities
GPT-5 Nano Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Llama-4-Maverick-17B-128E-Instruct vs GPT-5 Nano FAQs
Is Llama-4-Maverick-17B-128E-Instruct or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama-4-Maverick-17B-128E-Instruct and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama-4-Maverick-17B-128E-Instruct or GPT-5 Nano?+
Llama-4-Maverick-17B-128E-Instruct is $0.20 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. Llama-4-Maverick-17B-128E-Instruct is $0.696 and GPT-5 Nano is $0.20 per million tokens, so GPT-5 Nano is cheaper on this metric.
Which has a larger context window, Llama-4-Maverick-17B-128E-Instruct or GPT-5 Nano?+
Llama-4-Maverick-17B-128E-Instruct has the larger sourced context window. Llama-4-Maverick-17B-128E-Instruct supports 1,000,000 and GPT-5 Nano supports 400,000.
Which performs better in benchmarks, Llama-4-Maverick-17B-128E-Instruct or GPT-5 Nano?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Llama-4-Maverick-17B-128E-Instruct or GPT-5 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-5 Nano is not marked open weight.
Can Llama-4-Maverick-17B-128E-Instruct and GPT-5 Nano understand images?+
Llama-4-Maverick-17B-128E-Instruct is documented with image input; GPT-5 Nano is not 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-5 Nano?+
Neither has a larger sourced maximum output. Llama-4-Maverick-17B-128E-Instruct is — and GPT-5 Nano is 128,000.
Do Llama-4-Maverick-17B-128E-Instruct and GPT-5 Nano support reasoning and tool use?+
Llama-4-Maverick-17B-128E-Instruct: tool calling and image input. GPT-5 Nano: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Llama-4-Maverick-17B-128E-Instruct or GPT-5 Nano?+
Llama-4-Maverick-17B-128E-Instruct has 1 sourced provider route; GPT-5 Nano has 2, so GPT-5 Nano has broader tracked availability.
Which offers better value, Llama-4-Maverick-17B-128E-Instruct or GPT-5 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.