Models & Pricing

GPT-6 Sol vs GPT-6 Astra

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ComparisonGPT-6 Sol
gpt-6-sol
GPT-6 Astra
gpt-6-astra
TypeChatChat
Best forChat, writing, coding and reasoning tasksChat, writing, coding and reasoning tasks
TokenRex price$2.00 in / $10.00 out per 1M tokens$10.00 in / $50.00 out per 1M tokens
Cached input / 1M tokens$0.20 per 1M tokens$1.00 per 1M tokens
Cache write / 1M tokensNo extra fee$12.50 per 1M tokens
Cached outputNot offered · standard output rate appliesNot offered · standard output rate applies
Web search$10.00 per 1K searches$10.00 per 1K searches
Market price$2.00 in / $10.00 out per 1M tokens$10.00 in / $50.00 out per 1M tokens
Context window (provider)—1,050,000 tokens
Input token limit (provider)Within the context windowWithin the context window
Maximum output—128,000 tokens
Knowledge cutoff—Apr 30, 2026
Vendor input modalitiesNot verifiedText, Image
Vendor output modalitiesNot verifiedText
TokenRex endpointsPOST /v1/chat/completionsPOST /v1/chat/completions
TokenRex input—Text, Image/PDF content through the chat bridge
TokenRex output—Text
Benchmarks
Benchmark evidence—6 source-linked results
FrontierMath Tier 4 (v2)—
97.6%

Third-party reproduction of OpenAI’s announcement table; reported maximum effort unless noted, not a TokenRex run. Direct launch page could not be fetched during this audit.

Vellum · GPT-6 Astra launch-table analysis
ARC-AGI-3—
99.9%

Semi-private ARC-AGI-3, Provider Adapter harness, high reasoning: 99.9%. Standard harness at max reasoning instead reports 62.7%; opaque state reuse and compaction materially change the result.

ARC Prize · GPT-6 Astra evaluated results
ExploitBench—
100%

Third-party reproduction of OpenAI’s announcement table; reported maximum effort unless noted, not a TokenRex run. Direct launch page could not be fetched during this audit. Evaluated without production safeguards.

Vellum · GPT-6 Astra launch-table analysis
Terminal-Bench-Science 0.1—
64.6%

Third-party reproduction of OpenAI’s announcement table; reported maximum effort unless noted, not a TokenRex run. Direct launch page could not be fetched during this audit.

Vellum · GPT-6 Astra launch-table analysis
FrontierCode v1.1 (Extended)—
60.25%

Cognition FrontierCode 1.1; GPT-6 Astra; medium effort; codex harness; Extended subset (150 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.6025. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget.

Cognition · FrontierCode 1.1 original leaderboard
FrontierCode v1.1 (Main)—
48.83%

Cognition FrontierCode 1.1; GPT-6 Astra; medium effort; codex harness; Main subset (100 tasks). Published weighted rubric score (new_score × 100), not the all-or-nothing pass rate; solution-source violations score zero. Source field new_score=0.4883. Publisher evaluation, not a TokenRex measurement; provider effort configuration is not a guarantee of the API's fixed thinking budget.

Cognition · FrontierCode 1.1 original leaderboard

No overall score, winner or cost-versus-score frontier is calculated without comparable, attributable benchmark evidence. Different test configurations appear separately. Vendor capabilities are distinct from TokenRex API support.

— means no published value or no matching capability. Provider token limits are not tested gateway guarantees; TokenRex media controls and response formats are listed separately.

GPT-6 Sol

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

No attributable specifications verified for this exact model yet.

GPT-6 Astra

Sources and verification

Provider specifications describe the upstream model, not a guarantee of every feature through TokenRex. Prices come from the enabled catalog; benchmark results belong to the exact tested model.

Research notes (1)
  • Published provider limits; maximum-capacity requests have not been independently exercised through TokenRex. Thinking-level variants use the same provider model; reasoning and answer tokens share the output budget.

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