Gemini Omni Flash vs GPT-6 Astra
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Gemini Omni Flash by Google 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.
Gemini Omni Flash
Génération Vidéo par IAGemini Omni Flash de Google est un modèle d’IA conçu pour la génération vidéo cinématographique et la synthèse de mouvements fluides, offrant une fenêtre de contexte de 1.0M, une vitesse de 75 tokens/s, un indice d’intelligence de 86/100 et
$2.00 / 1M
$15.00 / 1M
1.05M tokens
N/A
GPT-6 Astra
Modèle Audio et Vocal NatifGPT-6 Astra de OpenAI est un modèle d’IA conçu pour la synthèse vocale naturelle, la transcription audio et le dialogue parlé en temps réel, offrant une fenêtre de contexte de 272K, une vitesse de 100 tokens/s, un indice d’intelligence de 9
$10.00 / 1M
$50.00 / 1M
272K tokens
82.4%
Différences Clés en un Coup d’Œil
- Gemini Omni Flash is 3.6x cheaper for API usage (input + output tokens combined).
- Gemini Omni Flash has a larger context window (1M vs 272K tokens).
- GPT-6 Astra is faster at 100 tok/s vs 75 tok/s.
| Caractéristique | Gemini Omni Flash | GPT-6 Astra |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 86 | 96 |
Provider | OpenAI | |
Input Price Cost per million input tokens | $2.00 / 1M | $10.00 / 1M |
Output Price Cost per million output tokens | $15.00 / 1M | $50.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.25 / 1M | $7.70 / 1M |
Context Window Maximum input + output tokens | 1.05M tokens~1,573 A4 pages of text | 272K tokens~408 A4 pages of text |
Max Output Tokens Per single request | 33K | 128K |
Throughput Speed Tokens generated per second | 75 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 | $0.50 / 1M | $1.00 / 1M |
Qui gagne où ?
At-a-glance decision frameworkEvaluations ongoing
Scores de Benchmarks Vérifiés
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.
Latence et Temps de Réponse
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulateur Interactif de Coût de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini Omni Flash · Strengths & Key Advantages
- Fenêtre de contexte de 1.0M et capacité de sortie maximale de 33K tokens (Arena Elo 1440)
- Débit rapide de 75 tokens/seconde avec une latence au premier token (TTFT) de 800 ms
- Tarification API optimisée ($2/$15 par million de tokens) avec prise en charge du cache de prompts et des schémas JSON stricts
Considerations & Trade-offs
- Modèle cloud propriétaire ne permettant pas le téléchargement local des poids sur serveur isolé
- Pour les charges à très fort volume, l’activation du cache de prompts et de l’API Batch est recommandée
GPT-6 Astra · Strengths & Key Advantages
- Fenêtre de contexte de 272K et capacité de sortie maximale de 128K tokens (SWE-bench Verified 82.4% · GPQA Diamond 80.9%)
- Débit rapide de 100 tokens/seconde avec une latence au premier token (TTFT) de 950 ms
- Tarification API optimisée ($10/$50 par million de tokens) avec prise en charge du cache de prompts et des schémas JSON stricts
Considerations & Trade-offs
- Modèle cloud propriétaire ne permettant pas le téléchargement local des poids sur serveur isolé
- Pour les charges à très fort volume, l’activation du cache de prompts et de l’API Batch est recommandée
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini Omni Flash | GPT-6 Astra |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.50 | $2.15 |
Output Tokens / Task Tokens generated per task | 15K | 58K |
Reasoning Tokens / Task Thinking tokens burned per task | 4K | 32K |
Spécifications Techniques
Architecture, release timeline, capabilities, and modalities.
| Caractéristique | Gemini Omni Flash | GPT-6 Astra |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-omni-flash | gpt-6-astra |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-06 | 2026-09 |
| Knowledge Cutoff | February 2026 | June 2026 |
| Architecture | Unified real-time text-to-video and conversational streaming engine | Omni-Adaptive Autoregressive with Dynamic CoT |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 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 | Implicit + Explicit Context Caching at $0.5/1M with configurable 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context 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 | Google DeepMind Frontier Safety Framework 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 |
Gemini Omni Flash vs GPT-6 Astra: Réponses Rapides (FAQ)
Which is more intelligent, Gemini Omni Flash or GPT-6 Astra?
GPT-6 Astra is more intelligent. It scores 96 compared with 86 on the composite Intelligence Index.
Which model is faster?
GPT-6 Astra is faster, generating 100 tokens per second compared with 75 tokens per second.
Which model is cheaper to run?
Gemini Omni Flash is cheaper at $2.25 per 1M tokens blended, compared with $7.70 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini Omni Flash has lower latency, with a time to first token of 0.80s compared with 0.95s.
Which model has a larger context window?
Gemini Omni Flash has a larger context window, supporting 1.05M tokens compared with 272K tokens.
Verdict
Choose Gemini Omni Flash for conçu pour la génération vidéo cinématographique et la synthèse de mouvements fluides, l’intégration rag et les pipelines de production évolutifs., or choose GPT-6 Astra for conçu pour la synthèse vocale naturelle, la transcription audio et le dialogue parlé en temps réel, l’intégration rag et les pipelines de production évolutifs..
Questions fréquentes
Which is cheaper: Gemini Omni Flash or GPT-6 Astra?+
Gemini Omni Flash costs $2/1M input and $15/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.
Which model has a larger context window: Gemini Omni Flash or GPT-6 Astra?+
Gemini Omni Flash supports 1.0M 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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Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.
Sources: Google & OpenAI Official Documentation