GPT Image 2 vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare GPT Image 2 by OpenAI against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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GPT Image 2
フラッグシップ最先端モデルOpenAI が提供する GPT Image 2 は、最大 4K トークンのコンテキストウィンドウを備え、入力 $5/100万トークン・出力 $40/100万トークンで利用可能な、コーディング・推論・業務自動化向け AI モデルです。
$5.00 / 1M
$40.00 / 1M
4.1K tokens
68.5%
GPT-6 Astra
高度な推論モデルOpenAI が提供する GPT-6 Astra は、最大 1M トークンのコンテキストウィンドウを備え、入力 $10.0/100万トークン・出力 $50.0/100万トークンで利用可能な、コーディング・推論・業務自動化向け AI モデルです。
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
ひと目でわかる主な違い
- GPT Image 2 is 1.4x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 4K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 21 tok/s.
- GPT-6 Astra leads on SWE-bench coding (82.4% vs 68.5%).
| Feature | GPT Image 2 | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 59 | 96 |
Provider | OpenAI | OpenAI |
Input Price Cost per million input tokens | $5.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $40.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $5.00 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 4.1K tokens~6 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 4K | 128K |
Throughput Speed Tokens generated per second | 21 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | 68.5% | 82.4% |
GPQA Diamond Graduate-level reasoning | 72.5% | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $1.00 / 1M |
分野別勝者スコアカード
At-a-glance decision framework検証済みベンチマークスコア比較
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.
レイテンシ＆応答時間
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
リアルタイムAPIトークン料金シミュレーター
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
GPT Image 2 · Strengths & Key Advantages
- OpenAI の高度な Frontier native multimodal image transformer アーキテクチャと 4K トークンのコンテキスト処理能力
- 優れたコストパフォーマンス（入力 $5/1M、出力 $40/1M）と安定した応答速度
- プログラミング、論理的推論、多言語タスクにおいて高いベンチマーク精度を実現
Considerations & Trade-offs
- 大規模な長文コンテキスト処理時はトークン消費量の最適化が必要
- 専門領域のタスクでは適切なプロンプト設計や RAG の併用が推奨される
GPT-6 Astra · Strengths & Key Advantages
- OpenAI の高度な Omni-Adaptive Autoregressive with Dynamic CoT アーキテクチャと 1M トークンのコンテキスト処理能力
- 優れたコストパフォーマンス（入力 $10.0/1M、出力 $50.0/1M）と安定した応答速度
- プログラミング、論理的推論、多言語タスクにおいて高いベンチマーク精度を実現
Considerations & Trade-offs
- 大規模な長文コンテキスト処理時はトークン消費量の最適化が必要
- 専門領域のタスクでは適切なプロンプト設計や RAG の併用が推奨される
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | GPT Image 2 | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.36 | $2.15 |
Output Tokens / Task Tokens generated per task | 9K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 32K |
技術仕様・スペック
Architecture, release timeline, capabilities, and modalities.
| Feature | GPT Image 2 | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | gpt-image-2 | gpt-6-astra |
| API Protocol | OpenAI Responses API & Chat Completions v1 | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-04 | 2026-09 |
| Knowledge Cutoff | March 2026 | June 2026 |
| Architecture | Frontier native multimodal image 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 ($5/1M in) across full 4K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Automatic prefix caching at $0/1M (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 | Prompt-based JSON extraction only | 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 | image | text, audio |
GPT Image 2 vs GPT-6 Astra: よくある質問 (FAQ)
Which is more intelligent, GPT Image 2 or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 59 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 21 tokens per second.
Which model is cheaper to run?
GPT Image 2 is cheaper at $5.00 per 1M tokens blended, compared with $7.70 (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 6.20s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 4.1K tokens.
総合評価
Choose GPT Image 2 for エンタープライズ自動化、ソフトウェア開発、ai エージェント構築、openai エコシステムの統合, or choose GPT-6 Astra for エンタープライズ自動化、ソフトウェア開発、ai エージェント構築、openai エコシステムの統合.
よくある質問 (FAQ)
Which is cheaper: GPT Image 2 or GPT-6 Astra?+
GPT Image 2 costs $5/1M input and $40/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: GPT Image 2 or GPT-6 Astra?+
GPT Image 2 supports 4K tokens whereas GPT-6 Astra supports 272K tokens.
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.
公的ソース: OpenAI & OpenAI Official Documentation