Grok Imagine Video 1.5 vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Grok Imagine Video 1.5 by xAI against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.
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Grok Imagine Video 1.5
Flaggschiff-Frontier-ModellGrok Imagine Video 1.5 von xAI ist ein leistungsstarkes KI-Modell mit einem Kontextfenster von 1K Token zu API-Preisen von $5/1M Input- und $20/1M Output-Token für Softwareentwicklung, Analyse und Enterprise-Workflows.
$5.00 / 1M
$20.00 / 1M
1K 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
- Grok Imagine Video 1.5 is 2.1x cheaper for API usage (input + output tokens combined).
- GPT-6 Astra has a larger context window (272K vs 1K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 24 tok/s.
| Feature | Grok Imagine Video 1.5 | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 55 | 96 |
Provider | xAI | OpenAI |
Input Price Cost per million input tokens | $5.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $20.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $4.75 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 1K tokens~2 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 1K | 128K |
Throughput Speed Tokens generated per second | 24 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 | $2.50 / 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.
Grok Imagine Video 1.5 · Strengths & Key Advantages
- Fortschrittliche Diffusion-Transformer Hybrid (DiT)-Architektur von xAI mit 1K Token Kontextfenster
- Starkes Preis-Leistungs-Verhältnis ($5/1M Input, $20/1M 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 | Grok Imagine Video 1.5 | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.15 | $2.15 |
Output Tokens / Task Tokens generated per task | 1K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 32K |
Technische Spezifikationen
Architecture, release timeline, capabilities, and modalities.
| Feature | Grok Imagine Video 1.5 | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | grok-imagine-video-1-5-latest | gpt-6-astra |
| API Protocol | xAI REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-05 | 2026-09 |
| Knowledge Cutoff | March 2026 | June 2026 |
| Architecture | Diffusion-Transformer Hybrid (DiT) | 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 ($5/1M in) across full 1K window | Flat rate ($10/1M in) across full 272K window |
| Prompt Cache Policy & TTL | Cached input at $2.5/1M tokens | Automatic prefix caching at $1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Text-only completion (No GUI action loop) | 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 | Real-time Web & X (Twitter) Search Grounding + Code Execution | 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) | 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 | xAI 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 | text, vision, audio |
| Output Modalities | video | text, audio |
Grok Imagine Video 1.5 vs GPT-6 Astra: Schnelle Antworten (FAQ)
Which is more intelligent, Grok Imagine Video 1.5 or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 55 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 24 tokens per second.
Which model is cheaper to run?
Grok Imagine Video 1.5 is cheaper at $4.75 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 4.50s.
Which model has a larger context window?
GPT-6 Astra has a larger context window, supporting 272K tokens compared with 1K tokens.
Fazit
Choose Grok Imagine Video 1.5 for unternehmensautomatisierung, software-engineering, autonome ki-agenten und xai-produktionssysteme, or choose GPT-6 Astra for unternehmensautomatisierung, software-engineering, autonome ki-agenten und openai-produktionssysteme.
Häufig gestellte Fragen (FAQ)
Which is cheaper: Grok Imagine Video 1.5 or GPT-6 Astra?+
Grok Imagine Video 1.5 costs $5/1M input and $20/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: Grok Imagine Video 1.5 or GPT-6 Astra?+
Grok Imagine Video 1.5 supports 1K 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: xAI & OpenAI Official Documentation