GPT-5.2 vs GPT-5.5
At a Glance
| Compare |  GPT-5.2OpenAI | GPT-5.5OpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #33 of 4649.3 score · 3/3 sources · complete | #7 of 4683.9 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #28 of 44$0.161 per LiveBench case | #38 of 44$0.341 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #34 of 3844.0 score · 3/3 sources · complete | #18 of 3853.4 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.75Openai ↗ · Sep 3, 2026 | $5.00Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $14.00Openai ↗ · Sep 3, 2026 | $30.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 400K | 1,050K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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 | GPT-5.2 | GPT-5.5 |
|---|---|---|
| ARC-AGI-1verified-v1-2aa739d957fc · verified_score · leader | 86.1791% of row best · percent · GPT-5.2 (XHigh) | 95.00100% of row best · percent · GPT-5.5 (XHigh) |
| ARC-AGI-2verified-v2-b5cb5ec6e8c7 · verified_score · leader | 52.9162% of row best · percent · GPT-5.2 (XHigh) | 85.00100% of row best · percent · GPT-5.5 (XHigh) |
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,401.1294% of row best · rating · gpt-5.2; 95% CI [1395.19508120, 1407.03614053]; votes 28212; rank 44 | 1,484.48100% of row best · rating · gpt-5.5-high; 95% CI [1478.10008380, 1490.85597001]; votes 20944; rank 9 |
| LMArena Search Arenasearch-2026-08-24-d25aabda0010 · arena_rating · leader | 1,172.1494% of row best · rating · gpt-5.2-search-non-reasoning; 95% CI [1166.59081201, 1177.68538907]; votes 75658; rank 20 | 1,242.05100% of row best · rating · gpt-5.5-search; 95% CI [1236.73488085, 1247.37053078]; votes 89873; rank 3 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,412.4396% of row best · rating · gpt-5.2; 95% CI [1409.21136225, 1415.65317114]; votes 78967; rank 125 | 1,465.59100% of row best · rating · gpt-5.5; 95% CI [1461.82849712, 1469.35015015]; votes 66317; rank 31 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,229.4495% of row best · rating · gpt-5.2; 95% CI [1223.25930119, 1235.62760198]; votes 18997; rank 68 | 1,294.19100% of row best · rating · gpt-5.5-high; 95% CI [1287.85384790, 1300.52893287]; votes 21960; rank 20 |
| LiveBench2026-06-25 · overall · leader | 79.2194% of row best · percent · gpt-5.2-2025-12-11-high · 11,512 output tokens / case | 84.54100% of row best · percent · gpt-5.5-xhigh · 11,355 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.0895% of row best · points · GPT-5.2 · 4,266 output tokens / case | 82.60100% of row best · points · GPT-5.5 (xhigh) · 4,050 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 7 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 | GPT-5.2 | GPT-5.5 |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Family | Gpt 5 2 | Gpt 5 5 |
| Model | GPT-5.2 | GPT-5.5 |
| Version | GPT-5.2 | GPT-5.5 |
| Lifecycle | active | active |
| Released | 2025-12-11 | 2026-04-23 |
| Knowledge cutoff | 2025-08-31 | 2025-12-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 400K | 1,050K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Openai (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
GPT-5.2 Capabilities
GPT-5.5 Capabilities
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Primary Evidence
Sources and Freshness
Questions
GPT-5.2 vs GPT-5.5 FAQs
Is GPT-5.2 or GPT-5.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 and GPT-5.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.2 or GPT-5.5?+
GPT-5.2 is $1.75 and GPT-5.5 is $5.00 per million tokens, so GPT-5.2 is cheaper on this metric. GPT-5.2 is $14.00 and GPT-5.5 is $30.00 per million tokens, so GPT-5.2 is cheaper on this metric.
Which has a larger context window, GPT-5.2 or GPT-5.5?+
GPT-5.5 has the larger sourced context window. GPT-5.2 supports 400K and GPT-5.5 supports 1,050K.
Which performs better in benchmarks, GPT-5.2 or GPT-5.5?+
GPT-5.5 leads the current overall benchmark count. The result uses 7 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can GPT-5.2 or GPT-5.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.2 is not marked open weight; GPT-5.5 is not marked open weight.
Can GPT-5.2 and GPT-5.5 understand images?+
GPT-5.2 is documented with image input; GPT-5.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.2 or GPT-5.5?+
Neither has a larger sourced maximum output. GPT-5.2 is 128K and GPT-5.5 is 128K.
Do GPT-5.2 and GPT-5.5 support reasoning and tool use?+
GPT-5.2: reasoning, tool calling, and image input. GPT-5.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.2 or GPT-5.5?+
GPT-5.2 has 2 sourced provider routes; GPT-5.5 has 2, a tie.
Which offers better value, GPT-5.2 or GPT-5.5?+
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.