SeedRealtime vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare SeedRealtime by ByteDance against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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SeedRealtime
Deep-Reasoning-ModellSeedRealtime von ByteDance ist ein leistungsstarkes KI-Modell mit einem Kontextfenster von 128K Token zu API-Preisen von $0.5/1M Input- und $2/1M Output-Token für Softwareentwicklung, Analyse und Enterprise-Workflows.
$0.50 / 1M
$2.00 / 1M
128K tokens
N/A
GPT-6 Astra
Deep-Reasoning-ModellGPT-6 Astra von OpenAI ist ein leistungsstarkes KI-Modell mit einem Kontextfenster von 1M Token zu API-Preisen von $10.0/1M Input- und $50.0/1M Output-Token für Softwareentwicklung, Analyse und Enterprise-Workflows.
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Wichtigste Unterschiede auf einen Blick
- SeedRealtime is 23.4x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 128K tokens).
- SeedRealtime is faster at 120 tok/s vs 100 tok/s.
| Feature | SeedRealtime | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 83 | 96 |
Provider | ByteDance | OpenAI |
Input Price Cost per million input tokens | $0.50 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $2.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.34 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 128K tokens~192 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 8K | 128K |
Throughput Speed Tokens generated per second | 120 tok/s | 100 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 82.4% |
GPQA Diamond Graduate-level reasoning | N/A | 80.9% |
Cached Input Price Prompt caching discount per 1M tokens | $0.05 / 1M | $1.00 / 1M |
Wer gewinnt in welcher Disziplin?
At-a-glance decision frameworkEvaluations ongoing
Geprüfte Benchmark-Ergebnisse im Vergleich
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.
Latenz & Antwortzeit
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Interaktiver Token-Kosten-Simulator
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
SeedRealtime · Strengths & Key Advantages
- Fortschrittliche Native Audio-Visual Full-Duplex Transformer-Architektur von ByteDance mit 128K Token Kontextfenster
- Starkes Preis-Leistungs-Verhältnis ($0.5/1M Input, $2/1M Output) bei hoher Durchsatzrate
- Hohe Präzision bei Code-Generierung, logischem Schließen und mehrsprachigen Benchmarks
Considerations & Trade-offs
- Bei sehr großen Kontextmengen ist eine sorgfältige Token-Budgetierung ratsam
- Spezialisierte Fachaufgaben profitieren von gezieltem Prompt-Engineering
GPT-6 Astra · Strengths & Key Advantages
- Fortschrittliche Omni-Adaptive Autoregressive with Dynamic CoT-Architektur von OpenAI mit 1M Token Kontextfenster
- Starkes Preis-Leistungs-Verhältnis ($10.0/1M Input, $50.0/1M Output) bei hoher Durchsatzrate
- Hohe Präzision bei Code-Generierung, logischem Schließen und mehrsprachigen Benchmarks
Considerations & Trade-offs
- Bei sehr großen Kontextmengen ist eine sorgfältige Token-Budgetierung ratsam
- Spezialisierte Fachaufgaben profitieren von gezieltem Prompt-Engineering
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | SeedRealtime | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.12 | $2.15 |
Output Tokens / Task Tokens generated per task | 16K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 4K | 32K |
Technische Spezifikationen
Architecture, release timeline, capabilities, and modalities.
| Feature | SeedRealtime | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | seedrealtime | gpt-6-astra |
| API Protocol | ByteDance REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-08 | 2026-09 |
| Knowledge Cutoff | June 2026 | June 2026 |
| Architecture | Native Audio-Visual Full-Duplex Transformer | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production 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) | Flat rate ($0.5/1M in) across full 128K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Cached input at $0.05/1M tokens | 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | API Prompt Engineering & RAG 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) · Audio (~25–32 tokens/sec) | 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 | ByteDance Production Safety & Alignment Verified | 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, audio | text, vision, audio |
| Output Modalities | text, audio | text, audio |
SeedRealtime vs GPT-6 Astra: Schnelle Antworten (FAQ)
Which is more intelligent, SeedRealtime or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 83 on the composite Intelligence Index.
Which model is faster?
SeedRealtime is faster, generating 120 tokens per second compared with 100 tokens per second.
Which model is cheaper to run?
SeedRealtime is cheaper at $0.34 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).
Which model has lower latency?
SeedRealtime has lower latency, with a time to first token of 0.28s compared with 0.95s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 128K tokens.
Fazit
Choose SeedRealtime for unternehmensautomatisierung, software-engineering, autonome ki-agenten und bytedance-produktionssysteme, or choose GPT-6 Astra for unternehmensautomatisierung, software-engineering, autonome ki-agenten und openai-produktionssysteme.
Häufig gestellte Fragen (FAQ)
Which is cheaper: SeedRealtime or GPT-6 Astra?+
SeedRealtime costs $0.5/1M input and $2/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: SeedRealtime or GPT-6 Astra?+
SeedRealtime supports 128K 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.
Offizielle Quellen: ByteDance & OpenAI Official Documentation