Claude Opus 4.1 vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Claude Opus 4.1 by Anthropic against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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Live comparison: no in-depth editorial review has been published for this pair yet.
Claude Opus 4.1
Mejora agénticaun updated Opus lanzamiento con enhanced agentic refactorización, menor error rates en multi-herramienta bucles, y improved matemático problem solving.
$15.00 / 1M
$75.00 / 1M
200K tokens
74.5%
GPT-6 Astra
Agente de SO autónomode OpenAI late-2026 insignia modelo fundacional con nativo uso de computadora agentes, dynamic UI orchestration, y profundo STEM razonamiento.
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Diferencias Clave de un Vistazo
- GPT-6 Astra is 1.5x 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 46 tok/s.
- GPT-6 Astra leads on SWE-bench coding (82.4% vs 74.5%).
| Característica | Claude Opus 4.1 | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 62 | 96 |
Provider | Anthropic | OpenAI |
Input Price Cost per million input tokens | $15.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $75.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $11.55 / 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 | 32K | 128K |
Throughput Speed Tokens generated per second | 46 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | 74.5% | 82.4% |
GPQA Diamond Graduate-level reasoning | 74.4% | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $1.50 / 1M | $1.00 / 1M |
¿Quién gana en cada área?
At-a-glance decision frameworkPuntuaciones de Benchmarks Verificadas
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.
Latencia y Tiempo de Respuesta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interactivo de Costos de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Claude Opus 4.1 · Strengths & Key Advantages
- Puntuación mejorada de 74.5% en SWE-bench Verified respecto al Opus 4 original
- más confiable de largo alcance herramienta chains con reduced intermediate state drift
- Fine-tuned para agentic terminal navigation y debugging
Considerations & Trade-offs
- Retains el $15/$75 premium costo structure sin significant precios cuts
- generación rendimiento es slow en comparación con medio-nivel counterparts
GPT-6 Astra · Strengths & Key Advantages
- Flawless OS-level navigation y uso de computadora automatización
- Seamless en tiempo real multimodal voz y visión interactivity
- Dynamic cadena de pensamiento que self-adjusts profundidad based en query difficulty
- enorme 1M ventana de contexto con instant prefix caching
Considerations & Trade-offs
- Strict seguridad filters puede occasionally throttle complejo penetration testing prompts
- Slightly mayor razonamiento latencia en alto-effort matemáticas queries
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude Opus 4.1 | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $16.46 | $2.15 |
Output Tokens / Task Tokens generated per task | 72K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 32K |
Especificaciones Técnicas
Architecture, release timeline, capabilities, and modalities.
| Característica | Claude Opus 4.1 | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | claude-opus-4-1-20250801 | gpt-6-astra |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2025-08 | 2026-09 |
| Knowledge Cutoff | March 2025 | June 2026 |
| Architecture | Refined Frontier Reasoning Transformer | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | $1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL | 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 Citations + Code Execution Tool + MCP Connectors | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | 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 |
Claude Opus 4.1 vs GPT-6 Astra: Respuestas Rápidas (FAQ)
Which is more intelligent, Claude Opus 4.1 or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 62 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 46 tokens per second.
Which model is cheaper to run?
GPT-6 Astra is cheaper at $7.70 per 1M tokens blended, compared with $11.55 (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 1.70s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 200K tokens.
Veredicto
Choose Claude Opus 4.1 for automatizado bug-fixing swarms, complejo arquitectura refactorización, y académico investigación síntesis, or choose GPT-6 Astra for autónomo browser/computer flujos de trabajo, en tiempo real voz agentes, y alto-difficulty matemático razonamiento.
Preguntas frecuentes
Which is cheaper: Claude Opus 4.1 or GPT-6 Astra?+
Claude Opus 4.1 costs $15/1M input and $75/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: Claude Opus 4.1 or GPT-6 Astra?+
Claude Opus 4.1 supports 200K 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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Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.
Fuentes: Anthropic & OpenAI Official Documentation