Skip to main content
AI Choice EngineAI Choice Engine

Model comparison

GPT-6 Astra vs NVIDIA Nemotron 3 Ultra

OpenAI against NVIDIA, compared on context, price, and verified benchmark results.

Catalog record checked September 5, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

OpenAI

GPT-6 Astra

Frontier

vs

NVIDIA

NVIDIA Nemotron 3 Ultra

Frontier · Open weights

AI model capability comparison
SpecificationGPT-6 AstraNVIDIA Nemotron 3 Ultra
ProviderOpenAINVIDIA
TierFrontierFrontier
Context windowWinner: 1.05M1M
Max output128KNot verifiedUnverified
Input / 1M tokens$10Winner: $0.50
Output / 1M tokens$50Winner: $2.20
WeightsClosedOpen
Parameterscomputer-use flagship550B total / 55B active (MoE)
Reasoning levelslow, medium, high, xhigh, maxlow, high, max
Modalitiestext, imagetext
API model idgpt-6-astranemotron-3-ultra-550b-a55b
ReleasedSeptember 3, 2026June 4, 2026
Artificial Analysis Intelligence Index [max] (2026-09-03)61.2Not verifiedUnverified
Artificial Analysis Intelligence Index (2026-08-14)Not verifiedUnverified54
DeepSWE 1.1 (2026-09-03)74.1Not verifiedUnverified
OSWorld 2.0 (offline) (2026-09-03)72.6Not verifiedUnverified
GPQA Diamond (2026-09-03)96Not verifiedUnverified
Humanity's Last Exam (2026-09-03)57.2Not verifiedUnverified
Terminal-Bench 2.1 (2026-09-05)89.9Not verifiedUnverified

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

Pricing tiers: GPT-6 Astra: Standard $10/$50 per MTok (≤272K context); >272K input billed $20/$75 (Fast mode output $100). Cached input $1/MTok; Fast mode is 2x price for ~2.5x speed. Knowledge cutoff Apr 30 2026. Rolling out over several days from 2026-09-03; Enterprise tenants get it disabled by default. · NVIDIA Nemotron 3 Ultra: Open weights (weights + data + recipes); $0.50/$2.20 per MTok is the third-party hosted rate (OpenRouter). 550B/55B MoE.

FrontierRecord checked September 5, 2026

GPT-6 Astra

GPT-6 Astra is OpenAI's computer-use flagship — the first model it gates at the Preparedness Framework's 'Critical' cybersecurity threshold, trained on >100,000 GPUs at Stargate.

Best for

  • Computer-use agents
  • Agentic coding
  • Hard reasoning

Watch out

Gated at the 'Critical' cyber threshold and disabled by default for Enterprise; long-context work bills $20/$75 above 272K input tokens.

FrontierOpen weightsRecord checked September 2, 2026

NVIDIA Nemotron 3 Ultra

Nemotron 3 Ultra is NVIDIA's open-weight (550B/55B) frontier MoE with a 1M-token context.

Best for

  • Open-weight frontier
  • Self-hosting on NVIDIA GPUs
  • Reasoning

Watch out

Top US open-weight until Thinking Machines Inkling; verify hosted pricing.

When the cheaper one wins

NVIDIA Nemotron 3 Ultra is cheaper on output at $2.20 per million tokens against $50 for GPT-6 Astra — about 23×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sidesInput and output rates are verified for both models.
  • 4/5 core specs verified on both sidesNot published for at least one side: max output.
  • 1 shared named benchmark with differing scoresMeasured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 daysNewest catalog check was 6 days ago.
  • Both models carry source citationsEach side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

GPT-6 Astra vs NVIDIA Nemotron 3 Ultra

Answered from the verified figures on this page rather than general guidance.

Is GPT-6 Astra or NVIDIA Nemotron 3 Ultra cheaper for input?

NVIDIA Nemotron 3 Ultra is cheaper at $0.50 per million input tokens, against $10 for GPT-6 Astra — roughly 20× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-6 Astra has tiered pricing: Standard $10/$50 per MTok (≤272K context); >272K input billed $20/$75 (Fast mode output $100). Cached input $1/MTok; Fast mode is 2x price for ~2.5x speed. Knowledge cutoff Apr 30 2026. Rolling out over several days from 2026-09-03; Enterprise tenants get it disabled by default. NVIDIA Nemotron 3 Ultra has tiered pricing: Open weights (weights + data + recipes); $0.50/$2.20 per MTok is the third-party hosted rate (OpenRouter). 550B/55B MoE.

Is GPT-6 Astra or NVIDIA Nemotron 3 Ultra cheaper for output?

NVIDIA Nemotron 3 Ultra is cheaper at $2.20 per million output tokens, against $50 for GPT-6 Astra — roughly 23× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-6 Astra has tiered pricing: Standard $10/$50 per MTok (≤272K context); >272K input billed $20/$75 (Fast mode output $100). Cached input $1/MTok; Fast mode is 2x price for ~2.5x speed. Knowledge cutoff Apr 30 2026. Rolling out over several days from 2026-09-03; Enterprise tenants get it disabled by default. NVIDIA Nemotron 3 Ultra has tiered pricing: Open weights (weights + data + recipes); $0.50/$2.20 per MTok is the third-party hosted rate (OpenRouter). 550B/55B MoE.

Which has the larger context window, GPT-6 Astra or NVIDIA Nemotron 3 Ultra?

GPT-6 Astra accepts 1.05M tokens against 1M for NVIDIA Nemotron 3 Ultra. This only matters if you routinely send very long documents or large codebases.

Do GPT-6 Astra and NVIDIA Nemotron 3 Ultra support the same reasoning levels?

GPT-6 Astra exposes low, medium, high, xhigh, max, while NVIDIA Nemotron 3 Ultra exposes low, high, max.

Should I use GPT-6 Astra or NVIDIA Nemotron 3 Ultra?

Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. GPT-6 Astra suits computer-use agents; NVIDIA Nemotron 3 Ultra suits open-weight frontier.

Can I self-host GPT-6 Astra or NVIDIA Nemotron 3 Ultra?

NVIDIA Nemotron 3 Ultra publishes open weights, but self-hosting and third-party provider access depend on the licence, hardware, serving support, and availability. GPT-6 Astra is a closed model whose supported access paths are controlled by its provider.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: NVIDIA Nemotron 3 Ultra costs $0.50 per 1M tokens versus $10 for GPT-6 Astra — a 20x difference at the headline tier.
  • Context: GPT-6 Astra takes 1.05M against 1M for NVIDIA Nemotron 3 Ultra — only decisive if your prompts approach the smaller window.
  • Measured capability: GPT-6 Astra leads Artificial Analysis Intelligence Index 61.2 to 54 (measured 2026-09-03).
  • Deployment: NVIDIA Nemotron 3 Ultra publishes weights you can self-host; the other is API-only.

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.