Claude Opus 4.8 vs GPT-6 Astra
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Claude Opus 4.8 | GPT-6 Astra |
|---|---|---|
| CostLower is better · Published-token output estimate | #35 of 36$0.604 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Claude Opus 4.8 | GPT-6 Astra |
|---|---|---|
| ARC-AGI-1verified-v1-2aa739d957fc · verified_score · leader | 92.5094% of row best · percent · Claude Opus 4.8 (Max) | 98.50100% of row best · percent · GPT-6 Astra (XHigh) |
| ARC-AGI-2verified-v2-b5cb5ec6e8c7 · verified_score · leader | 72.0876% of row best · percent · Claude Opus 4.8 (High) | 95.00100% of row best · percent · GPT-6 Astra (Max) |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 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 | Claude Opus 4.8 | GPT-6 Astra |
|---|---|---|
| Developer | Anthropic | OpenAI |
| Family | Claude 4 8 | Gpt 6 |
| Model | Claude Opus 4.8 | GPT-6 Astra |
| Version | Claude Opus 4.8 | GPT-6 Astra |
| Lifecycle | active | active |
| Released | 2026-05-28 | 2026-09-03 |
| Knowledge cutoff | 2026-01-01 | 2026-04-30 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,000K | 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 | Anthropic (Standard), Deepinfra (Standard) | Openai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, computer-use, generation, reasoning, research, tools |
15 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Claude Opus 4.8 Capabilities
GPT-6 Astra Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
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Claude Fable 5.1Anthropic | vs | Claude Opus 4.8Anthropic | family variantsimage, text |
Claude Opus 4.8Anthropic | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs | Kimi-K3Moonshot AI | cross-developer peersimage, text |
MiniMax-M3MiniMax | vs | Claude Opus 4.8Anthropic | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs | GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs | Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.8Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.8Anthropic | vs | Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.8 vs GPT-6 Astra FAQs
Is Claude Opus 4.8 or GPT-6 Astra better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.8 and GPT-6 Astra, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.8 or GPT-6 Astra?+
Claude Opus 4.8 is $5.00 and GPT-6 Astra is $10.00 per million tokens, so Claude Opus 4.8 is cheaper on this metric. Claude Opus 4.8 is $25.00 and GPT-6 Astra is $50.00 per million tokens, so Claude Opus 4.8 is cheaper on this metric.
Which has a larger context window, Claude Opus 4.8 or GPT-6 Astra?+
GPT-6 Astra has the larger sourced context window. Claude Opus 4.8 supports 1,000K and GPT-6 Astra supports 1,050K.
Which performs better in benchmarks, Claude Opus 4.8 or GPT-6 Astra?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Claude Opus 4.8 or GPT-6 Astra be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Opus 4.8 is not marked open weight; GPT-6 Astra is not marked open weight.
Can Claude Opus 4.8 and GPT-6 Astra understand images?+
Claude Opus 4.8 is documented with image input; GPT-6 Astra is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.8 or GPT-6 Astra?+
Neither has a larger sourced maximum output. Claude Opus 4.8 is 128K and GPT-6 Astra is 128K.
Do Claude Opus 4.8 and GPT-6 Astra support reasoning and tool use?+
Claude Opus 4.8: reasoning, tool calling, and image input. GPT-6 Astra: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Opus 4.8 or GPT-6 Astra?+
Claude Opus 4.8 has 2 sourced provider routes; GPT-6 Astra has 1, so Claude Opus 4.8 has broader tracked availability.
Which offers better value, Claude Opus 4.8 or GPT-6 Astra?+
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.