GPT-5 vs Grok 4.6
Benchmark Performance
Available Benchmarks
| Benchmark | GPT-5 | Grok 4.6 |
|---|---|---|
| ARC-AGI-1verified-v1-15fb467fd4fc · verified_score · leader | 65.6775% of row best · percent · GPT-5 (High) | 87.50100% of row best · percent · Grok 4.6 (Medium) |
| ARC-AGI-2verified-v2-9a3db289984e · verified_score · leader | 9.8615% of row best · percent · GPT-5 (High) | 67.08100% of row best · percent · Grok 4.6 (XHigh) |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,405.9697% of row best · rating · gpt-5-high; 95% CI [1401.51371519, 1410.40173213]; votes 31418; rank 132 | 1,443.75100% of row best · rating · grok-4.6-high; 95% CI [1433.62910542, 1453.86294509]; votes 3453; rank 55 |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 77.8290% of row best · points · GPT-5 · 5,896 output tokens / case | 86.61100% of row best · points · Grok 4.6 · 15,575 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 4 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 | Grok 4.6 |
|---|---|---|
| Developer | Openai | Xai |
| Family | Gpt 5 | Grok 4 |
| Model | GPT-5 | Grok 4.6 |
| Version | GPT-5 | Grok 4.6 |
| Lifecycle | active | active |
| Released | 2025-08-07 | Unknown |
| Knowledge cutoff | 2024-09-30 | 2026-02-01 |
| Input modalities | Unknown | Unknown |
| Output modalities | Unknown | Unknown |
| 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, tools |
12 comparable fields · 8 material differences · Interactive comparison only; indexing gate not met
GPT-5 Capabilities
Grok 4.6 Capabilities
Primary Evidence
Sources and Freshness
Questions
GPT-5 vs Grok 4.6 FAQs
Is GPT-5 or Grok 4.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-5 and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-5 or Grok 4.6?+
Only GPT-5 has a directly sourced input price: $0.625 per million tokens. Only GPT-5 has a directly sourced output price: $5.00 per million tokens.
Which has a larger context window, GPT-5 or Grok 4.6?+
Grok 4.6 has the larger sourced context window. GPT-5 supports 400,000 and Grok 4.6 supports 500,000.
Which performs better in benchmarks, GPT-5 or Grok 4.6?+
Grok 4.6 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can GPT-5 or Grok 4.6 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. GPT-5 is not marked open weight; Grok 4.6 is not marked open weight.
Can GPT-5 and Grok 4.6 understand images?+
GPT-5 is not documented with image input; Grok 4.6 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-5 or Grok 4.6?+
Neither has a larger sourced maximum output. GPT-5 is 128,000 and Grok 4.6 is —.
Do GPT-5 and Grok 4.6 support reasoning and tool use?+
GPT-5: reasoning and tool calling. Grok 4.6: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-5 or Grok 4.6?+
GPT-5 has 2 sourced provider routes; Grok 4.6 has 1, so GPT-5 has broader tracked availability.
Which offers better value, GPT-5 or Grok 4.6?+
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.