o3-pro vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
o3-pro by OpenAI and GPT-6 Astra by OpenAI represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, GPT-6 Astra holds a notable pricing advantage for token ingestion. On output generation, GPT-6 Astra is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, GPT-6 Astra provides an expanded memory horizon with 272K tokens. In latency-sensitive production environments, GPT-6 Astra leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
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o3-pro
Модель глубокого рассужденияo3-pro от OpenAI — передовая модель искусственного интеллекта с контекстным окном 200K токенов и стоимостью API $20/1M входящих и $80/1M исходящих токенов для программирования, аналитики и автоматизации.
$20.00 / 1M
$80.00 / 1M
200K tokens
71.5%
GPT-6 Astra
Модель глубокого рассужденияGPT-6 Astra от OpenAI — передовая модель искусственного интеллекта с контекстным окном 1M токенов и стоимостью API $10.0/1M входящих и $50.0/1M исходящих токенов для программирования, аналитики и автоматизации.
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Ключевые отличия кратко
- GPT-6 Astra is 1.8x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 200K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 30 tok/s.
- GPT-6 Astra leads on SWE-bench coding (82.4% vs 71.5%).
| Feature | o3-pro | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 58 | 96 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $20.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $80.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $15.50 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 200K tokens~300 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 100K | 128K |
Throughput Speed Tokens generated per second | 30 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | 71.5% | 82.4% |
GPQA Diamond Graduate-level reasoning | 79.5% | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $5.00 / 1M | $1.00 / 1M |
Кто лидирует в каждой категории?
At-a-glance decision frameworkРезультаты проверенных бенчмарков
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Задержка и скорость ответа
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Интерактивный калькулятор стоимости токенов
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
o3-pro · Strengths & Key Advantages
- Современная архитектура High-effort reasoning transformer от OpenAI с поддержкой до 200K токенов контекста
- Оптимальная стоимость использования ($20/1M вход, $80/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
GPT-6 Astra · Strengths & Key Advantages
- Современная архитектура Omni-Adaptive Autoregressive with Dynamic CoT от OpenAI с поддержкой до 1M токенов контекста
- Оптимальная стоимость использования ($10.0/1M вход, $50.0/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | o3-pro | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $11.68 | $2.15 |
Output Tokens / Task Tokens generated per task | 58K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 38K | 32K |
Технические характеристики
Architecture, release timeline, capabilities, and modalities.
| Feature | o3-pro | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | o3-pro | gpt-6-astra |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2025-06 | 2026-09 |
| Knowledge Cutoff | June 2024 | June 2026 |
| Architecture | High-effort reasoning transformer | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($20/1M in) across full 200K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $5/1M (no extra cache-write fee) | Automatic prefix caching at $1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| MCP & Parallel Tool Calling | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema | Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema |
| Web Search Grounding & Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) | Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT) |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) |
| Quantization & Min GPU VRAM | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) | Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API) |
| Safety & Frontier Classification | OpenAI Preparedness Framework Audited & System Card Published | OpenAI Preparedness Framework Audited & System Card Published |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text, vision | text, vision, audio |
| Output Modalities | text | text, audio |
o3-pro vs GPT-6 Astra: Быстрые ответы (FAQ)
Which is more intelligent, o3-pro or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 58 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 30 tokens per second.
Which model is cheaper to run?
GPT-6 Astra is cheaper at $7.70 per 1M tokens blended, compared with $15.50 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-6 Astra has lower latency, with a time to first token of 0.95s compared with 5.20s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 200K tokens.
Вердикт
Verdict & Model Selection Recommendation: Choose o3-pro if your priority is Batch and mission-critical analysis rather than chat. Its performance in demanding tasks justifies its operational token cost. Choose GPT-6 Astra if your workflow prioritizes Autonomous browser/computer workflows, real-time voice agents, and high-difficulty mathematical reasoning. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
Часто задаваемые вопросы (FAQ)
How does o3-pro compare to GPT-6 Astra in API token pricing and cost per token?+
o3-pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens, whereas GPT-6 Astra costs $10.00 input and $50.00 output. Overall, GPT-6 Astra is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: o3-pro or GPT-6 Astra?+
o3-pro supports a context window of 200K tokens (~150k words), while GPT-6 Astra supports 272K tokens (~204k words). Therefore, GPT-6 Astra can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: o3-pro or GPT-6 Astra?+
o3-pro scores 71.5% on SWE-bench Verified while GPT-6 Astra scores 82.4%. For autonomous software engineering and multi-file debugging, GPT-6 Astra holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between o3-pro and GPT-6 Astra?+
o3-pro features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, GPT-6 Astra provides chain-of-thought reasoning depth for complex math and science.
How does inference speed (tokens per second) compare between o3-pro and GPT-6 Astra?+
o3-pro generates approximately 30 tokens per second, while GPT-6 Astra delivers 100 tokens per second. In latency-sensitive production environments, GPT-6 Astra provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining o3-pro and GPT-6 Astra to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to GPT-6 Astra to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to o3-pro. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.
Официальные источники: GetInfoUs Independent AI Benchmarks & Official API Specs