GPT-6 Astra vs Grok 4.6
At a Glance
| Compare |  GPT-6 AstraOpenAI | Grok 4.6xAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #6 of 5784.6 score · 3/3 sources · complete | UnrankedNot in the 57-model eligible cohort |
| CostLower is better · Published-token output estimate | #26 of 27$0.520 per LiveBench case | UnrankedNot in the 27-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.9 | #18 of 2746.1 score · 3/3 sources · complete | UnrankedNot in the 27-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $10.00Openai ↗ · Sep 4, 2026 | $2.00Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $50.00Openai ↗ · Sep 4, 2026 | $6.00Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 1,050K | 500K |
| Model facts checked | Sep 4, 2026View model evidence → | Aug 29, 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-6 Astra | Grok 4.6 |
|---|---|---|
| ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader | 98.50100% of row best · percent · GPT-6 Astra (XHigh) | 87.5089% of row best · percent · Grok 4.6 (Medium) |
| ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader | 95.00100% of row best · percent · GPT-6 Astra (Max) | 67.0871% of row best · percent · Grok 4.6 (XHigh) |
| LMArena Document Arenadocument-2026-09-13-a64ca3b12b6e · arena_rating · statistical tie | 1,467.52100% of row best · rating · gpt-6-astra-max; 95% CI [1453.25995337, 1481.78626802]; votes 1621; rank 16 | 1,452.3399% of row best · rating · grok-4.6-high; 95% CI [1440.31399734, 1464.34557688]; votes 2258; rank 25 |
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,442.69100% of row best · rating · gpt-6-astra-max; 95% CI [1436.40189535, 1448.98654490]; votes 12163; rank 69 | 1,427.7799% of row best · rating · grok-4.6-high; 95% CI [1422.91144511, 1432.61896218]; votes 28965; rank 99 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · statistical tie | 1,281.35100% of row best · rating · gpt-6-astra-max; 95% CI [1270.63592513, 1292.07239183]; votes 3590; rank 36 | 1,263.1499% of row best · rating · grok-4.6-high; 95% CI [1254.48523007, 1271.79468461]; votes 6495; rank 52 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 86.47100% of row best · percent · gpt-6-astra-max · 10,407 output tokens / case | 82.1795% of row best · percent · grok-4.6 · 16,154 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 82.32100% of row best · points · GPT-6 Astra (max) · 20,449 output tokens / case | 80.3398% of row best · points · Grok 4.6 (high) · 21,440 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 2 ties | 4 benchmark winsOverall lead | 0 benchmark wins |
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-6 Astra | Grok 4.6 |
|---|---|---|
| Developer | OpenAI | xAI |
| Family | Gpt 6 | Grok 4 |
| Model | GPT-6 Astra | Grok 4.6 |
| Version | GPT-6 Astra | Grok 4.6 |
| Lifecycle | active | active |
| Released | 2026-09-03 | Unknown |
| Knowledge cutoff | 2026-04-30 | 2026-02-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,050K | 500K |
| 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, computer-use, generation, reasoning, research, tools | chat, generation, reasoning, tools |
GPT-6 Astra Capabilities
Grok 4.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
GPT-6 Astra vs Grok 4.6 FAQs
Is GPT-6 Astra or Grok 4.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both GPT-6 Astra and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, GPT-6 Astra or Grok 4.6?+
GPT-6 Astra is $10.00 and Grok 4.6 is $2.00 per million tokens, so Grok 4.6 is cheaper on this metric. GPT-6 Astra is $50.00 and Grok 4.6 is $6.00 per million tokens, so Grok 4.6 is cheaper on this metric.
Which has a larger context window, GPT-6 Astra or Grok 4.6?+
GPT-6 Astra has the larger sourced context window. GPT-6 Astra supports 1,050,000 tokens and Grok 4.6 supports 500,000 tokens.
Which performs better in benchmarks, GPT-6 Astra or Grok 4.6?+
GPT-6 Astra 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-6 Astra or Grok 4.6 be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. GPT-6 Astra is not marked open weight; Grok 4.6 is not marked open weight.
Can GPT-6 Astra and Grok 4.6 understand images?+
GPT-6 Astra is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, GPT-6 Astra or Grok 4.6?+
GPT-6 Astra has a sourced maximum output of 128,000 tokens; Grok 4.6's maximum output is not reported. A larger limit cannot be determined.
Do GPT-6 Astra and Grok 4.6 support reasoning and tool use?+
GPT-6 Astra: reasoning, tool calling, and image input. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, GPT-6 Astra or Grok 4.6?+
GPT-6 Astra has 2 sourced provider routes; Grok 4.6 has 1, so GPT-6 Astra has broader tracked availability.
Which offers better value, GPT-6 Astra 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.