MiniMax M3 vs GPT-5.2
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | MiniMax-M3 | 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 | #4 of 36$0.017 per LiveBench case | #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 | MiniMax-M3 | GPT-5.2 |
|---|---|---|
| LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · leader | 1,434.82100% of row best · rating · minimax-m3; 95% CI [1426.45297239, 1443.17975284]; votes 6263; rank 26 | 1,400.0798% of row best · rating · gpt-5.2; 95% CI [1394.12737338, 1406.01746377]; votes 28068; rank 38 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,435.20100% of row best · rating · minimax-m3; 95% CI [1430.86827835, 1439.53977389]; votes 44544; rank 77 | 1,412.4298% 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 | 1,255.42100% of row best · rating · minimax-m3; 95% CI [1247.93588333, 1262.90862002]; votes 13390; rank 44 | 1,229.3698% of row best · rating · gpt-5.2; 95% CI [1223.13578833, 1235.59275214]; votes 19024; rank 63 |
| LiveBench2026-06-25 · overall · leader | 70.2689% of row best · percent · minimax-m3 · 15,530 output tokens / case | 79.21100% of row best · percent · gpt-5.2-2025-12-11-high · 11,512 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 1 benchmark win |
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 | MiniMax-M3 | GPT-5.2 |
|---|---|---|
| Developer | MiniMax | OpenAI |
| Family | Minimax M3 | Gpt 5 2 |
| Model | MiniMax-M3 | GPT-5.2 |
| Version | MiniMax-M3 | GPT-5.2 |
| Lifecycle | active | active |
| Released | 2026-06-01 | 2025-12-11 |
| Knowledge cutoff | Unknown | 2025-08-31 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 400K |
| Total parameters | 427B | Unknown |
| Active parameters | 23B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
MiniMax M3 Capabilities
GPT-5.2 Capabilities
Internal Comparison Graph
Related Comparisons
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|---|---|---|---|
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MiniMax-M3MiniMax | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs |  GLM-5.3Z.ai | cross-developer peerstext |
MiniMax-M3MiniMax | vs |  Hy4 previewTencent | cross-developer peerstext |
MiniMax-M3MiniMax | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
MiniMax M3 vs GPT-5.2 FAQs
Is MiniMax M3 or GPT-5.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both MiniMax M3 and GPT-5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, MiniMax M3 or GPT-5.2?+
MiniMax M3 is $0.28 and GPT-5.2 is $1.75 per million tokens, so MiniMax M3 is cheaper on this metric. MiniMax M3 is $1.10 and GPT-5.2 is $14.00 per million tokens, so MiniMax M3 is cheaper on this metric.
Which has a larger context window, MiniMax M3 or GPT-5.2?+
MiniMax M3 has the larger sourced context window. MiniMax M3 supports 1,049K and GPT-5.2 supports 400K.
Which performs better in benchmarks, MiniMax M3 or GPT-5.2?+
MiniMax M3 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can MiniMax M3 or GPT-5.2 be self-hosted?+
MiniMax M3 is the only model in this pair currently marked as self-hostable. MiniMax M3 is open weight; GPT-5.2 is not marked open weight.
Can MiniMax M3 and GPT-5.2 understand images?+
MiniMax M3 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, MiniMax M3 or GPT-5.2?+
Neither has a larger sourced maximum output. MiniMax M3 is — and GPT-5.2 is 128K.
Do MiniMax M3 and GPT-5.2 support reasoning and tool use?+
MiniMax M3: reasoning, 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, MiniMax M3 or GPT-5.2?+
MiniMax M3 has 5 sourced provider routes; GPT-5.2 has 2, so MiniMax M3 has broader tracked availability.
Which offers better value, MiniMax M3 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.