Claude Mythos 5.1 vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
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Claude Mythos 5.1 by Anthropic 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, Claude Mythos 5.1 provides an expanded memory horizon with 1,000K 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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Claude Mythos 5.1
심층 추론 모델Anthropic의 Claude Mythos 5.1 모델은 1M 토큰 컨텍스트 윈도우와 입력 $15/1M 토큰, 출력 $75/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$15.00 / 1M
$75.00 / 1M
1M tokens
84.2%
GPT-6 Astra
심층 추론 모델OpenAI의 GPT-6 Astra 모델은 1M 토큰 컨텍스트 윈도우와 입력 $10.0/1M 토큰, 출력 $50.0/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
한눈에 보는 핵심 차이점
- GPT-6 Astra is 1.5x cheaper for API usage (input + output tokens combined).
- Claude Mythos 5.1 has a larger context window (1M vs 272K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 60 tok/s.
- Claude Mythos 5.1 leads on SWE-bench coding (84.2% vs 82.4%).
| Feature | Claude Mythos 5.1 | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 88 | 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 | 1M tokens~1,500 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 128K | 128K |
Throughput Speed Tokens generated per second | 60 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | 84.2% | 82.4% |
GPQA Diamond Graduate-level reasoning | 82% | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $1.50 / 1M | $1.00 / 1M |
부문별 우위 모델
At-a-glance decision framework검증된 벤치마크 점수 비교
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.
지연 시간(Latency) 및 응답 속도
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
실시간 API 토큰 비용 시뮬레이터
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Claude Mythos 5.1 · Strengths & Key Advantages
- Anthropic의 첨단 Restricted Frontier Autonomous Cognitive System 아키텍처와 최대 1M 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $15/1M, 출력 $75/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
GPT-6 Astra · Strengths & Key Advantages
- OpenAI의 첨단 Omni-Adaptive Autoregressive with Dynamic CoT 아키텍처와 최대 1M 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $10.0/1M, 출력 $50.0/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude Mythos 5.1 | 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 |
기술 사양 (Specifications)
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Mythos 5.1 | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | claude-mythos-5-1-20260901 | gpt-6-astra |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-09 | 2026-09 |
| Knowledge Cutoff | June 2026 | June 2026 |
| Architecture | Restricted Frontier Autonomous Cognitive System | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 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 Mythos 5.1 vs GPT-6 Astra: 핵심 요약 문답 (FAQ)
Which is more intelligent, Claude Mythos 5.1 or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 88 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 60 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 1.60s.
Which model has a larger context window?
Claude Mythos 5.1 has a larger context window, supporting 1M tokens compared with 272K tokens.
종합 평가
Verdict & Model Selection Recommendation: Choose Claude Mythos 5.1 if your priority is National defense cybersecurity hardening, advanced biological countermeasures, and frontier safety research. 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.
자주 묻는 질문 (FAQ)
How does Claude Mythos 5.1 compare to GPT-6 Astra in API token pricing and cost per token?+
Claude Mythos 5.1 costs $15.00 per 1M input tokens and $75.00 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: Claude Mythos 5.1 or GPT-6 Astra?+
Claude Mythos 5.1 supports a context window of 1,000K tokens (~750k words), while GPT-6 Astra supports 272K tokens (~204k words). Therefore, Claude Mythos 5.1 can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Claude Mythos 5.1 or GPT-6 Astra?+
Claude Mythos 5.1 scores 84.2% on SWE-bench Verified while GPT-6 Astra scores 82.4%. For autonomous software engineering and multi-file debugging, Claude Mythos 5.1 holds the verified benchmark lead.
What is the difference in reasoning capability and extended thinking between Claude Mythos 5.1 and GPT-6 Astra?+
Claude Mythos 5.1 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 Claude Mythos 5.1 and GPT-6 Astra?+
Claude Mythos 5.1 generates approximately 60 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 Claude Mythos 5.1 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 Claude Mythos 5.1. 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.
Related reading
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- Claude Mythos 5.1 vs Claude Opus 5.5: Benchmarks, Pricing & Speed Comparison비교
- Claude Mythos 5.1 vs Gemini 4 Argon: Benchmarks, Pricing & Speed Comparison비교
- Command A Plus vs GPT-6 Astra: Benchmarks, Pricing & Speed Comparison비교
- DeepSeek V4 Pro vs GPT-6 Astra: Benchmarks, Pricing & Speed Comparison비교
- GPT-6.1 Sol vs GPT-6 Astra: Benchmarks, Pricing & Speed Comparison비교
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.
공식 출처: GetInfoUs Independent AI Benchmarks & Official API Specs