Gemini Embedding 2 vs Claude Opus 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Gemini Embedding 2 by Google against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.
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Gemini Embedding 2
Yüksek Performanslı YZGoogle tarafından geliştirilen Gemini Embedding 2, 8K token bağlam penceresi ve 1M girdi başına $0.2, 1M çıktı başına $0 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.
$0.20 / 1M
$0.00 / 1M
8.2K tokens
N/A
Claude Opus 5.5
Derin Akıl Yürütme ModeliAnthropic tarafından geliştirilen Claude Opus 5.5, 1M token bağlam penceresi ve 1M girdi başına $4.0, 1M çıktı başına $20.0 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.
$4.00 / 1M
$20.00 / 1M
1M tokens
84.6%
Bir Bakışta Temel Farklar
- Gemini Embedding 2 is 82.0x cheaper for API usage (input + output tokens combined).
- Claude Opus 5.5 has a larger context window (1M vs 8K tokens).
- Gemini Embedding 2 is faster at 350 tok/s vs 78 tok/s.
| Feature | Gemini Embedding 2 | Claude Opus 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 78 | 94 |
Provider | Anthropic | |
Input Price Cost per million input tokens | $0.20 / 1M | $4.00 / 1M |
Output Price Cost per million output tokens | $0.00 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.04 / 1M | $3.08 / 1M |
Context Window Maximum input + output tokens | 8.2K tokens~12 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 4K | 128K |
Throughput Speed Tokens generated per second | 350 tok/s | 78 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 84.6% |
GPQA Diamond Graduate-level reasoning | N/A | 82.3% |
Cached Input Price Prompt caching discount per 1M tokens | $0.00 / 1M | $0.40 / 1M |
Hangi Alanda Kim Kazanıyor?
At-a-glance decision frameworkEvaluations ongoing
Doğrulanmış Benchmark Puanları
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.
Gecikme Süresi ve Yanıt Hızı
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Gerçek Zamanlı Token Maliyet Simülatörü
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini Embedding 2 · Strengths & Key Advantages
- Google imzalı gelişmiş Unified multimodal joint-embedding transformer mimarisi ve 8K token bağlam kapasitesi
- Dengeli API maliyeti ($0.2/1M girdi, $0/1M çıktı) ve yüksek yanıt hızı
- Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
- Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
- Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir
Claude Opus 5.5 · Strengths & Key Advantages
- Anthropic imzalı gelişmiş Extended Autonomous Hybrid Reasoning Transformer mimarisi ve 1M token bağlam kapasitesi
- Dengeli API maliyeti ($4.0/1M girdi, $20.0/1M çıktı) ve yüksek yanıt hızı
- Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
- Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
- Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini Embedding 2 | Claude Opus 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.08 | $3.85 |
Output Tokens / Task Tokens generated per task | 0K | 68K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 42K |
Teknik Özellikler
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini Embedding 2 | Claude Opus 5.5 |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-embedding-2 | claude-opus-5-5-20260901 |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2026-04 | 2026-09 |
| Knowledge Cutoff | February 2026 | June 2026 |
| Architecture | Unified multimodal joint-embedding transformer | Extended Autonomous Hybrid Reasoning Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.2/1M in) across full 8K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0/1M with configurable TTL | $0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| 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 | Prompt-based JSON extraction only | 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 Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| 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, video | text, vision |
| Output Modalities | embedding | text |
Gemini Embedding 2 vs Claude Opus 5.5: Hızlı Yanıtlar (SSS)
Which is more intelligent, Gemini Embedding 2 or Claude Opus 5.5?
Claude Opus 5.5 is more intelligent. It scores 94 compared with 78 on the composite Intelligence Index.
Which model is faster?
Gemini Embedding 2 is faster, generating 350 tokens per second compared with 78 tokens per second.
Which model is cheaper to run?
Gemini Embedding 2 is cheaper at $0.04 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Gemini Embedding 2 has lower latency, with a time to first token of 0.20s compared with 1.40s.
Which model has a larger context window?
Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 8.2K tokens.
Sonuç
Choose Gemini Embedding 2 for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve google tabanlı üretim sistemleri, or choose Claude Opus 5.5 for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve anthropic tabanlı üretim sistemleri.
Sıkça Sorulan Sorular (SSS)
Which is cheaper: Gemini Embedding 2 or Claude Opus 5.5?+
Gemini Embedding 2 costs $0.2/1M input and $0/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.
Which model has a larger context window: Gemini Embedding 2 or Claude Opus 5.5?+
Gemini Embedding 2 supports 8K tokens whereas Claude Opus 5.5 supports 1M 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.
Resmi kaynaklar: Google & Anthropic Official Documentation