Llama 4 Maverick 17B 128E Instruct vs GPT-5.2
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Llama-4-Maverick-17B-128E-Instruct | GPT-5.2 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | UnrankedNot in the 22-model eligible cohort | #18 of 2249.3 score |
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #23 of 36$0.161 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | UnrankedNot in the 22-model eligible cohort | #19 of 2242.6 score |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Llama-4-Maverick-17B-128E-Instruct | GPT-5.2 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,287.1391% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.87677682, 1291.39199009]; votes 39349; rank 243 | 1,412.42100% of row best · rating · gpt-5.2; 95% CI [1409.19172501, 1415.64592175]; votes 79073; rank 122 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,141.4793% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.42029588, 1150.51619722]; votes 6936; rank 102 | 1,229.36100% of row best · rating · gpt-5.2; 95% CI [1223.13578833, 1235.59275214]; votes 19024; rank 63 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 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.
Technical Differences
Side-by-Side Facts
| Field | Llama-4-Maverick-17B-128E-Instruct | GPT-5.2 |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Llama 4 Maverick 17b 128e Instruct | Gpt 5 2 |
| Model | Llama-4-Maverick-17B-128E-Instruct | GPT-5.2 |
| Version | Llama-4-Maverick-17B-128E-Instruct | GPT-5.2 |
| Lifecycle | active | active |
| Released | 2025-04-05 | 2025-12-11 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 400K |
| 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, reasoning, structured_outputs, tools |
14 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Llama 4 Maverick 17B 128E Instruct Capabilities
GPT-5.2 Capabilities
Internal Comparison Graph
Related Comparisons
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Maverick 17B 128E Instruct vs GPT-5.2 FAQs
Is Llama 4 Maverick 17B 128E Instruct or GPT-5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Maverick 17B 128E Instruct and GPT-5.2, 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-5.2?+
Llama 4 Maverick 17B 128E Instruct is $0.20 and GPT-5.2 is $1.75 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Llama 4 Maverick 17B 128E Instruct is $0.696 and GPT-5.2 is $14.00 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-5.2?+
Llama 4 Maverick 17B 128E Instruct has the larger sourced context window. Llama 4 Maverick 17B 128E Instruct supports 1,000K and GPT-5.2 supports 400K.
Which performs better in benchmarks, Llama 4 Maverick 17B 128E Instruct or GPT-5.2?+
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-5.2 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-5.2 is not marked open weight.
Can Llama 4 Maverick 17B 128E Instruct and GPT-5.2 understand images?+
Llama 4 Maverick 17B 128E Instruct is documented with image input; GPT-5.2 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-5.2?+
Neither has a larger sourced maximum output. Llama 4 Maverick 17B 128E Instruct is — and GPT-5.2 is 128K.
Do Llama 4 Maverick 17B 128E Instruct and GPT-5.2 support reasoning and tool use?+
Llama 4 Maverick 17B 128E Instruct: tool calling and image input. GPT-5.2: reasoning, 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-5.2?+
Llama 4 Maverick 17B 128E Instruct has 1 sourced provider route; GPT-5.2 has 2, so GPT-5.2 has broader tracked availability.
Which offers better value, Llama 4 Maverick 17B 128E Instruct or GPT-5.2?+
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.