--- title: "Is GPT-6 Astra still undominated? · Undominated.ai" canonical: https://undominated.ai/check/openai__gpt-6-astra/ description: "GPT-6 Astra: whether it is still undominated. If anything in this catalogue has a higher score or a lower price with neither dimension worse, it is named, as of Nov 5, 2026. Unrated stays unrated." --- # Is GPT-6 Astra still undominated? · Undominated.ai > GPT-6 Astra: whether it is still undominated. If anything in this catalogue has a higher score or a lower price with neither dimension worse, it is named, as of Nov 5, 2026. Unrated stays unrated. # Is GPT-6 Astra a good deal? Whether anything in this catalogue beats GPT-6 Astra on both quality and price, and what you give up if it does. A computation on the current catalogue, not an opinion. 10 undominated of 142 · Nov 5, 2026 [1 · Choose & set workload](#check-input)[2 · Read verdict](#check-verdict)[3 · Inspect alternatives](#check-options) As of Nov 5, 2026, GPT-6 Astra is dominated for Balanced on LMArena. GPT-5.5 scores 25.6 higher and costs 44% less, with a covering envelope. 10 of 142 rated, priced standard models are undominated. [Inspect model evidence](/models/openai__gpt-6-astra/) [Compare differences & requirements](/compare/?models=openai%2Fgpt-6-astra%2Copenai%2Fgpt-5.5) Current model GPT-6 Astra Balanced 3 tokens in per 1 out Balanced Summarise Chat Code gen Agentic Monthly spend (USD) Used only to say how many months a named switching cost would take to earn back. Leave blank to skip. Switching cost (USD) GPT-5.5 is both better and cheaper than GPT-6 Astra: 25.6 points higher on LMArena and 44% less per million tokens, $8.75 cheaper at this mix. [GPT-6 Astra](https://undominated.ai/models/openai__gpt-6-astra/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1441.2 Effective $/M · Balanced · lower is better ** $20.00/M [GPT-5.5](https://undominated.ai/models/openai__gpt-5.5/) LMArena Elo · higher is better Scale starts at 1040 Elo ** 1466.8 Effective $/M · Balanced · lower is better ** $11.25/M GPT-6 Astra takes file, image, text, returns up to 128,000 tokens from a 1,050,000-token context, and is listed by 8 sellers. Compared against 142 rated, priced models on this lens: 5 models dominate it and give up nothing, 5 more dominate it but give something up. GPT-6 Astra scores 1441.2 at $20.00 per million tokens for this mix. ## Envelope-safe replacements Each row scores at least as high, costs no more, and covers this model’s context, output, modalities, tools, and reasoning. A cheaper narrower model is not listed here. | Model | LMArena | Effective $/M | You save | | --- | --- | --- | --- | | [GPT-5.5](/models/openai__gpt-5.5/) | 1466.8 +25.6 | $11.25/M | 44% | | [GPT-5.6 Sol](/models/openai__gpt-5.6-sol/) | 1457.2 +16.0 | $8.00/M | 60% | | [GPT-5.4](/models/openai__gpt-5.4/) | 1452.5 +11.3 | $5.63/M | 72% | | [GPT-5.6 Terra](/models/openai__gpt-5.6-terra/) | 1448.3 +7.1 | $4.50/M | 78% | | [GPT-6.1 Sol](/models/openai__gpt-6.1-sol/) | 1445.6 +4.4 | $4.00/M | 80% | ## Higher score, lower price, named losses Not a drop-in. The loss is why these are not a recommendation. | Model | LMArena | Effective $/M | You give up | | --- | --- | --- | --- | | [Gemini 4 Argon](/models/google__gemini-4-argon/) | 1528.6 | $8.00/M | context | | [Claude Opus 5.5](/models/anthropic__claude-opus-5.5/) | 1515.8 | $8.00/M | context | | [Claude Fable 5.1](/models/anthropic__claude-fable-5.1/) | 1513.8 | $20.00/M | context | | [Claude Opus 5](/models/anthropic__claude-opus-5/) | 1504.1 | $10.00/M | context | | [Claude Opus 4.6](/models/anthropic__claude-opus-4.6/) | 1501.7 | $10.00/M | context | 142 rated, priced standard models. Chartreuse is the frontier. Cobalt is the model you named, when it is not on the staircase. Copy watch URL [Open the frontier](/frontier/) The link keeps the model and mix, using the current catalogue. Monthly spend and switching cost stay in this browser tab and are left out of the link. ## Saved decision references Save the model, workload, catalogue date and capability-preservation rule in this browser. Spend, switching cost and bill contents are not saved. No account or notifications. Constraint: replacements must preserve the model’s capabilities; any losses remain named trade-offs. Historical decisions cannot be fully replayed from saved references: past prices, scores and capability evidence are not stored. Save this reference ## Continue your investigation - [Build a shortlist](/compare/) - [Inspect alternatives](/alternatives/) - [Check billing conditions](/traps/) - [Read model evidence](/models/)