GPT-5.2 vs GPT-5.6 Terra
At a Glance
| Compare |  GPT-5.2OpenAI | GPT-5.6 TerraOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #33 of 4649.3 score · 3/3 sources · complete | #13 of 4674.9 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #28 of 44$0.161 per LiveBench case | #35 of 44$0.266 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #34 of 3844.0 score · 3/3 sources · complete | #23 of 3851.5 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.75Openai ↗ · Sep 3, 2026 | $2.00Openai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $14.00Openai ↗ · Sep 3, 2026 | $12.00Openai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 400K | 1,050K |
| Model facts checked | Sep 3, 2026View model evidence → | Aug 28, 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-5.6 Terra |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 86.1789% of row best · percent · GPT-5.2 (XHigh) | 96.50100% of row best · percent · GPT-5.6 Terra (Max) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 52.9163% of row best · percent · GPT-5.2 (XHigh) | 83.90100% of row best · percent · GPT-5.6 Terra (Max) |
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,401.1295% of row best · rating · gpt-5.2; 95% CI [1395.19508120, 1407.03614053]; votes 28212; rank 44 | 1,471.58100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1463.31179298, 1479.85049651]; votes 5787; rank 13 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,412.4398% of row best · rating · gpt-5.2; 95% CI [1409.21136225, 1415.65317114]; votes 78967; rank 125 | 1,446.22100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1441.41414497, 1451.02563541]; votes 28119; rank 52 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,229.4497% of row best · rating · gpt-5.2; 95% CI [1223.25930119, 1235.62760198]; votes 18997; rank 68 | 1,269.90100% of row best · rating · gpt-5.6-terra-xhigh; 95% CI [1261.54272100, 1278.25950723]; votes 7726; rank 36 |
| LiveBench2026-06-25 · overall · leader | 79.2196% of row best · percent · gpt-5.2-2025-12-11-high · 11,512 output tokens / case | 82.31100% of row best · percent · gpt-5.6-terra-max · 22,145 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 78.0890% of row best · points · GPT-5.2 · 4,266 output tokens / case | 86.39100% of row best · points · GPT-5.6 Terra (ultra) · 11,336 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 6 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-5.6 Terra |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Family | Gpt 5 2 | Gpt 5 6 |
| Model | GPT-5.2 | GPT-5.6 Terra |
| Version | GPT-5.2 | GPT-5.6 Terra |
| Lifecycle | active | active |
| Released | 2025-12-11 | Unknown |
| Knowledge cutoff | 2025-08-31 | 2026-02-16 |
| 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, tools |
GPT-5.2 Capabilities
GPT-5.6 Terra Capabilities
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Primary Evidence
Sources and Freshness
Questions
GPT-5.2 vs GPT-5.6 Terra FAQs
Is GPT-5.2 or GPT-5.6 Terra better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 and GPT-5.6 Terra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.2 or GPT-5.6 Terra?+
GPT-5.2 is $1.75 and GPT-5.6 Terra is $2.00 per million tokens, so GPT-5.2 is cheaper on this metric. GPT-5.2 is $14.00 and GPT-5.6 Terra is $12.00 per million tokens, so GPT-5.6 Terra is cheaper on this metric.
Which has a larger context window, GPT-5.2 or GPT-5.6 Terra?+
GPT-5.6 Terra has the larger sourced context window. GPT-5.2 supports 400K and GPT-5.6 Terra supports 1,050K.
Which performs better in benchmarks, GPT-5.2 or GPT-5.6 Terra?+
GPT-5.6 Terra leads the current overall benchmark count. The result uses 6 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can GPT-5.2 or GPT-5.6 Terra be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.2 is not marked open weight; GPT-5.6 Terra is not marked open weight.
Can GPT-5.2 and GPT-5.6 Terra understand images?+
GPT-5.2 is documented with image input; GPT-5.6 Terra is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.2 or GPT-5.6 Terra?+
Neither has a larger sourced maximum output. GPT-5.2 is 128K and GPT-5.6 Terra is 128K.
Do GPT-5.2 and GPT-5.6 Terra support reasoning and tool use?+
GPT-5.2: reasoning, tool calling, and image input. GPT-5.6 Terra: 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-5.6 Terra?+
GPT-5.2 has 2 sourced provider routes; GPT-5.6 Terra has 2, a tie.
Which offers better value, GPT-5.2 or GPT-5.6 Terra?+
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.