GPT-5.2 vs Grok 4.5
Benchmark Performance
Available Benchmarks
| Benchmark | GPT-5.2 | Grok 4.5 |
|---|---|---|
| ARC-AGI-1verified-v1-b2e2a31b3d53 · verified_score · leader | 86.1799% of row best · percent · GPT-5.2 (XHigh) | 87.17100% of row best · percent · Grok 4.5 (Medium) |
| ARC-AGI-2verified-v2-326661568d5f · verified_score · leader | 52.91100% of row best · percent · GPT-5.2 (XHigh) | 52.6499% of row best · percent · Grok 4.5 (Medium) |
| LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · leader | 1,400.0796% of row best · rating · gpt-5.2; 95% CI [1394.12737338, 1406.01746377]; votes 28068; rank 38 | 1,453.73100% of row best · rating · grok-4.5; 95% CI [1441.93744334, 1465.52785378]; votes 2435; rank 20 |
| LMArena Search Arenasearch-2026-08-24-011508720696 · arena_rating · leader | 1,172.1497% of row best · rating · gpt-5.2-search-non-reasoning; 95% CI [1166.59081201, 1177.68538907]; votes 75658; rank 20 | 1,212.65100% of row best · rating · grok-4.5; 95% CI [1205.78347274, 1219.50889748]; votes 31505; rank 8 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,412.4297% of row best · rating · gpt-5.2; 95% CI [1409.19172501, 1415.64592175]; votes 79073; rank 122 | 1,451.82100% of row best · rating · grok-4.5; 95% CI [1446.90989155, 1456.73122428]; votes 25873; rank 39 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,229.3695% of row best · rating · gpt-5.2; 95% CI [1223.13578833, 1235.59275214]; votes 19024; rank 63 | 1,291.11100% of row best · rating · grok-4.5; 95% CI [1282.25469345, 1299.96666150]; votes 6401; rank 22 |
| LiveBench2026-06-25 · overall · leader | 79.2199% of row best · percent · gpt-5.2-2025-12-11-high · 11,512 output tokens / case | 80.01100% of row best · percent · grok-4.5 · 10,517 output tokens / case |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 78.0895% of row best · points · GPT-5.2 · 4,266 output tokens / case | 82.23100% of row best · points · Grok 4.5 · 2,688 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark win | 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.
Technical Differences
Side-by-Side Facts
| Field | GPT-5.2 | Grok 4.5 |
|---|---|---|
| Developer | OpenAI | xAI |
| Family | Gpt 5 2 | Grok 4 |
| Model | GPT-5.2 | Grok 4.5 |
| Version | GPT-5.2 | Grok 4.5 |
| Lifecycle | active | active |
| Released | 2025-12-11 | 2026-07-16 |
| Knowledge cutoff | 2025-08-31 | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 400,000 | 500,000 |
| 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) | Xai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 7 material differences · Pair passes the primary-source comparison gate
GPT-5.2 Capabilities
Grok 4.5 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
 GPT-5.1OpenAI | vs | GPT-5.2OpenAI | family variantsimage, text |
Grok 4.3xAI | vs | Grok 4.5xAI | family variantsimage, text |
 Muse Spark 1.2Meta | vs | Grok 4.5xAI | cross-developer peersimage, text |
GPT-5 ProOpenAI | vs | GPT-5.2OpenAI | family variantsimage, text |
GPT-5.2OpenAI | vs | GPT-5.3-CodexOpenAI | family variantsimage, text |
Grok 4.5xAI | vs | family variantsimage, text | |
Grok 4.5xAI | vs | Grok 4.6xAI | family variantsimage, text |
GPT-5OpenAI | vs | Grok 4.5xAI | cross-developer peersimage, text |
GPT-5 MiniOpenAI | vs | Grok 4.5xAI | cross-developer peersimage, text |
GPT-5 NanoOpenAI | vs | Grok 4.5xAI | cross-developer peersimage, text |
GPT-5 ProOpenAI | vs | Grok 4.5xAI | cross-developer peersimage, text |
GPT-5.1OpenAI | vs | Grok 4.5xAI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
GPT-5.2 vs Grok 4.5 FAQs
Is GPT-5.2 or Grok 4.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5.2 and Grok 4.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5.2 or Grok 4.5?+
GPT-5.2 is $1.75 and Grok 4.5 is $2.00 per million tokens, so GPT-5.2 is cheaper on this metric. GPT-5.2 is $14.00 and Grok 4.5 is $6.00 per million tokens, so Grok 4.5 is cheaper on this metric.
Which has a larger context window, GPT-5.2 or Grok 4.5?+
Grok 4.5 has the larger sourced context window. GPT-5.2 supports 400,000 and Grok 4.5 supports 500,000.
Which performs better in benchmarks, GPT-5.2 or Grok 4.5?+
Grok 4.5 leads the current overall benchmark count. The result uses 8 protocol-matched benchmarks from 4 publishers; it is not a universal quality score.
Can GPT-5.2 or Grok 4.5 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5.2 is not marked open weight; Grok 4.5 is not marked open weight.
Can GPT-5.2 and Grok 4.5 understand images?+
GPT-5.2 is documented with image input; Grok 4.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5.2 or Grok 4.5?+
Neither has a larger sourced maximum output. GPT-5.2 is 128,000 and Grok 4.5 is —.
Do GPT-5.2 and Grok 4.5 support reasoning and tool use?+
GPT-5.2: reasoning, tool calling, and image input. Grok 4.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5.2 or Grok 4.5?+
GPT-5.2 has 2 sourced provider routes; Grok 4.5 has 1, so GPT-5.2 has broader tracked availability.
Which offers better value, GPT-5.2 or Grok 4.5?+
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.