GPT-6 Astra vs Grok 4.6
Published test results, prices, limits and features, side by side. Share the link to show someone exactly this comparison.
GPT-6 AstraOpenAI
Grok 4.6xAI
At a glance
Capability index
- GPT-6 Astra166.4
- Grok 4.6156.4
GPT-6 Astra is 10.0 points higher.
Price per 1M tokens
- GPT-6 Astra$20.00
- Grok 4.6$3.00
Grok 4.6 is 6.7 times cheaper.
Context window
- GPT-6 Astra1.1M tokens
- Grok 4.6500K tokens
GPT-6 Astra takes in 2.1 times as much.
Released
- GPT-6 AstraSep 4, 2026
- Grok 4.6Aug 12, 2026
GPT-6 Astra is 23 days newer.
Where each scores higher
On the 22 tests both have taken, each on its own scale. A gap of a point or two can sit within a test’s margin of error.
GPT-6 Astra
- LiveBench overall+4.1 points
- Arena text+23 points
- LiveBench coding+3.6 points
- Arena WebDev+168 points
- Arena coding+36 points
- LiveBench mathematics+4.2 points
- Mock AIME 2024–2025+0.8 points
- FrontierMath Tiers 1–3+27.7 points
- FrontierMath Tier 4+65.9 points
- Arena math+42 points
- SimpleQA Verified+26.3 points
- LiveBench agentic coding+0.3 points
- DeepSWE+6.6 points
- LiveBench language+5.7 points
- LiveBench instructions+3.7 points
- Arena creative writing+4 points
- Arena instruction following+23 points
- LiveBench data analysis+9.1 points
- LiveBench reasoning+2.1 points
- GPQA Diamond+1.8 points
- Chess puzzles+32.0 points
- Arena hard prompts+23 points
Grok 4.6
No shared test where it scores higher.
1 more test has results for only one of them; the table below lists every result.
Everything side by side
| Measure | GPT-6 AstraOpenAI | Grok 4.6xAI |
|---|---|---|
| Model | ||
| Maker | OpenAI | xAI |
| Sold here by | OpenAI | xAI |
| API model ID | gpt-6-astra | grok-4.6 |
| Released | Sep 4, 2026 | Aug 12, 2026 |
| Knowledge cutoff | Apr 30, 2026 | Feb 1, 2026 |
| Weights | Closed: hosted access only | Closed: hosted access only |
| Developer’s country | United States | United States |
| Hosts selling it | 29including OpenAI directly | 35including xAI directly |
| Training compute | 1.0 × 10²⁷ FLOPEpoch AI estimate | Not published |
| Test results | ||
| Capability index | 166.4 (best of these models)#2 of 274 | 156.4#21 of 274 |
| LiveBench overall | 82.2% (best of these models)#4 of 66 | 78.0%#18 of 66 |
| Arena text | 1477 (best of these models)#29 of 413 | 1454#73 of 413 |
| LiveBench coding | 80.4% (best of these models)#20 of 66 | 76.8%#42 of 66 |
| Arena WebDev | 1788 (best of these models)#2 of 138 | 1620#23 of 138 |
| Arena coding | 1543 (best of these models)#7 of 408 | 1507#64 of 408 |
| LiveBench mathematics | 96.8% (best of these models)#4 of 66 | 92.6%#25 of 66 |
| Mock AIME 2024–2025 | 100.0% (best of these models)#1 of 297 | 99.2%#15 of 297 |
| FrontierMath Tiers 1–3 | 93.7% (best of these models)#1 of 114 | 66.0%#28 of 114 |
| FrontierMath Tier 4 | 97.6% (best of these models)#2 of 70 | 31.7%#33 of 70 |
| Arena math | 1490 (best of these models)#27 of 396 | 1448#78 of 396 |
| SimpleQA Verified | 75.6% (best of these models)#1 of 86 | 49.3%#27 of 86 |
| LiveBench agentic coding | 57.3% (best of these models)#21 of 66 | 57.0%#22 of 66 |
| DeepSWE | 74.1% (best of these models)#1 of 69 | 67.5%#20 of 69 |
| CursorBench | Not tested | 41.4%#24 of 62 |
| LiveBench language | 89.4% (best of these models)#4 of 66 | 83.7%#19 of 66 |
| LiveBench instructions | 75.6% (best of these models)#8 of 66 | 71.9%#20 of 66 |
| Arena creative writing | 1449 (best of these models)#39 of 411 | 1445#52 of 411 |
| Arena instruction following | 1474 (best of these models)#30 of 413 | 1451#63 of 413 |
| LiveBench data analysis | 83.0% (best of these models)#1 of 66 | 73.9%#40 of 66 |
| LiveBench reasoning | 92.7% (best of these models)#1 of 66 | 90.5%#12 of 66 |
| GPQA Diamond | 95.8% (best of these models)#1 of 319 | 94.0%#11 of 319 |
| Chess puzzles | 72.0% (best of these models)#1 of 227 | 40.0%#24 of 227 |
| Arena hard prompts | 1502 (best of these models)#30 of 413 | 1479#67 of 413 |
| Price per million tokens | ||
| Input | $10.00 | $2.00 (best of these models) |
| Output | $50.00 | $6.00 (best of these models) |
| Blended, 3 input to 1 output | $20.00 | $3.00 (best of these models) |
| Cached input | $1.00 | $0.50 (best of these models) |
| Writing to the cache | $12.50 | Not reported |
| Long requests | $20.00 in, $75.00 outabove 272K tokens | $4.00 in, $12.00 outabove 200K tokens |
| The maker’s own price | This listing | This listing |
| Limits | ||
| Context window | 1.1M tokens (best of these models) | 500K tokens |
| Max input | 922K tokens (best of these models) | 372K tokens |
| Max output | 128K tokens | 500K tokens (best of these models) |
| Features | ||
| Reads | images, PDFs and text | images, PDFs and text |
| Produces | text | text |
| Reasoning | Yeseffort low, medium, high, xhigh, max | Yeseffort low, medium, high, xhigh |
| Tool calling | Yes | Yes |
| Structured output | Yes, such as JSON | Yes, such as JSON |
| File attachments | Yes | Yes |
| Temperature setting | Fixed by the provider | Supported |
Bold marks the better value in each row. Prices are each model’s own list price, or the middle price across hosts when the maker does not sell it, blended as three input tokens for every output token. Test results as published by LiveBench (Apache-2.0), Epoch AI (CC BY 4.0), Datacurve DeepSWE, compiled by Epoch AI (CC BY 4.0), Cursor CursorBench, compiled by Epoch AI (CC BY 4.0), Arena (CC BY 4.0); model details and prices from models.dev (MIT). Confirm pricing with the provider before use.