GoTry AI

GPT-6 Astra

Language OpenAI Available Released Sep 4, 2026 Partly verified
Model ID
Context
1.05M
128K max output
Input price
$10.00
per 1M tokens · OpenAI API
Output price
$50.00
per 1M tokens
Epoch Capabilities Index
166.6
#1 of 71 listed
LMArena Text
1,478
#20 of 79 listed

Where to run it

3 offerings · prices as listed
MeterTierPrice
OpenAI API (opens in a new tab) Official Global · USD gpt-6-astra
InputStandard $10.00 / 1M tokens
Batch $5.00 / 1M tokens
Flex tier $5.00 / 1M tokens
Fast tier $20.00 / 1M tokens
OutputStandard $50.00 / 1M tokens
Batch $25.00 / 1M tokens
Flex tier $25.00 / 1M tokens
Fast tier $100.00 / 1M tokens
Cache readStandard $1.00 / 1M tokens
Batch $0.50 / 1M tokens
Flex tier $0.50 / 1M tokens
Fast tier $2.00 / 1M tokens
Cache writeStandard $12.50 / 1M tokens
Batch $6.25 / 1M tokens
Flex tier $6.25 / 1M tokens
Fast tier $25.00 / 1M tokens
InputStandard $10.00 / 1M tokens
OutputStandard $50.00 / 1M tokens
Cache readStandard $1.00 / 1M tokens
Cache writeStandard $12.50 / 1M tokens
Azure OpenAI in Foundry (opens in a new tab) data-zone · USD gpt-6-astra
InputStandard $11.00 / 1M tokens
OutputStandard $55.00 / 1M tokens
Cache readStandard $1.10 / 1M tokens
Cache writeStandard $13.75 / 1M tokens
  1. 16 new prices on OpenAI API Input (Batch) $5.00 · Cache read (Batch) $0.50 · Cache write (Batch) $6.25 · Output (Batch) $25.00 · +12 more
  2. Now priced on Azure OpenAI in Foundry, data-zone Input $11.00 · Cache read $1.10 · Cache write $13.75 · Output $55.00
  3. Now priced on Azure OpenAI in Foundry Input $10.00 · Cache read $1.00 · Cache write $12.50 · Output $50.00

Vendor-reported scores

Published by OpenAI, under the conditions it states
BenchmarkSettingScore
Terminal-Bench 4.0maximum across effort levels57.9%
DeepSWE 1.1maximum across effort levels74.1%
OSWorld 2.0v2026.08.08 offline set, partial score; maximum across effort levels72.6%
BrowseCompmaximum across effort levels91.5%
GPQA Diamondmaximum across effort levels96%
Humanity's Last Examwith tools; maximum across effort levels57.2%
ARC-AGI-2maximum across effort levels95%
MRCR v28-needle, 256K–512K100%
8-needle, 512K–1M96.3%

Cited scores

From third-party leaderboards, not measured by us
  • Epoch Capabilities Index 166.6

    #1 of 71 listed models · CI 163–172

    Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Sep 26, 2026 · changes we made

  • LMArena Text 1,478

    #20 of 79 listed models · max effort · CI 1,470–1,485 · 7,185 votes

    LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Sep 25, 2026 · changes we made

  • Epoch AI · FrontierMath Tiers 1–3 93.7%

    #1 of 56 listed models · max effort · ±1.44

    Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Sep 26, 2026 · changes we made

  • Epoch AI · GPQA Diamond 95.8%

    #1 of 64 listed models · max effort · ±1.37

    Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. Licensed CC BY 4.0. · License · as of Sep 26, 2026 · changes we made

  • LMArena Text · Chinese 1,516

    #25 of 79 listed models · max effort · CI 1,492–1,541 · 531 votes

    LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Sep 25, 2026 · changes we made

  • LMArena Text · Coding 1,542

    #5 of 79 listed models · max effort · CI 1,528–1,557 · 1,738 votes

    LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Sep 25, 2026 · changes we made

  • LMArena Vision 1,279

    #21 of 49 listed models · max effort · CI 1,262–1,296 · 1,367 votes

    LMArena (Arena), leaderboard-dataset on Hugging Face, licensed CC BY 4.0 · License · as of Sep 13, 2026 · changes we made