Gemini 2.0 Flash-Lite vs Amazon Nova Lite
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Gemini 2.0 Flash-Lite dari Google dan Amazon Nova Lite dari Amazon adalah dua model AI unggulan. Gemini 2.0 Flash-Lite menawarkan jendela konteks 1.05M token dengan harga $0.07/$0.30 per 1 juta token, sedangkan Amazon Nova Lite menyediakan konteks 300K token seharga $0.06/$0.24 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.
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Gemini 2.0 Flash-Lite
Model Ringan & Hemat BiayaGemini 2.0 Flash-Lite dari Google adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 1.0M, kecepatan 280 token/detik, indeks kecerdasan 48/100, serta
$0.07 / 1M
$0.30 / 1M
1.05M tokens
N/A
Amazon Nova Lite
AI Multimodal AsliAmazon Nova Lite dari Amazon adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 300K, kecepatan 135 token/detik, indeks kecerdasan 38/100, serta tarif
$0.06 / 1M
$0.24 / 1M
300K tokens
31.2%
Perbedaan Utama Sekilas
- Amazon Nova Lite is 1.3x cheaper for API usage (input + output tokens combined).
- Gemini 2.0 Flash-Lite has a larger context window (1M vs 300K tokens).
- Gemini 2.0 Flash-Lite is faster at 280 tok/s vs 135 tok/s.
| Feature | Gemini 2.0 Flash-Lite | Amazon Nova Lite |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 48 | 38 |
Provider | Amazon | |
Input Price Cost per million input tokens | $0.07 / 1M | $0.06 / 1M |
Output Price Cost per million output tokens | $0.30 / 1M | $0.24 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.06 / 1M | $0.05 / 1M |
Context Window Maximum input + output tokens | 1.05M tokens~1,573 A4 pages of text | 300K tokens~450 A4 pages of text |
Max Output Tokens Per single request | 8K | 8K |
Throughput Speed Tokens generated per second | 280 tok/s | 135 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 31.2% |
GPQA Diamond Graduate-level reasoning | N/A | 42% |
Cached Input Price Prompt caching discount per 1M tokens | $0.02 / 1M | $0.01 / 1M |
Siapa Unggul di Mana?
At-a-glance decision frameworkEvaluations ongoing
Skor Benchmark Terverifikasi
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.
Latensi & Waktu Respons
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulator Biaya Token Interaktif
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Gemini 2.0 Flash-Lite · Strengths & Key Advantages
- Jendela konteks 1.0M dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 72.5% · Arena Elo 1305)
- Kecepatan generasi tinggi 280 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
- Skema harga API kompetitif (tarif $0.075/$0.3 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Amazon Nova Lite · Strengths & Key Advantages
- Jendela konteks 300K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 31.2% · GPQA Diamond 42%)
- Kecepatan generasi tinggi 135 token/detik dengan latensi token pertama (TTFT) hanya 280 ms
- Skema harga API kompetitif (tarif $0.06/$0.24 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
- Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
- Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Gemini 2.0 Flash-Lite | Amazon Nova Lite |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.25 | $0.06 |
Output Tokens / Task Tokens generated per task | 6K | 19K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 0K |
Spesifikasi Teknis
Architecture, release timeline, capabilities, and modalities.
| Feature | Gemini 2.0 Flash-Lite | Amazon Nova Lite |
|---|---|---|
| Official API Model ID (SDK) | models/gemini-2-0-flash-lite | nova-lite |
| API Protocol | Google Gemini API (generateContent) + OpenAI-Compatible SDK | Amazon REST API (OpenAI-Compatible) |
| Release Date | 2025-02 | 2024-12 |
| Knowledge Cutoff | August 2024 | October 2024 |
| Architecture | Distilled lightweight multimodal transformer | High-Speed Multimodal Foundation Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 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 ($0.06/1M in) across full 300K window |
| Prompt Cache Policy & TTL | Implicit + Explicit Context Caching at $0.01875/1M with configurable TTL | Cached input at $0.015/1M tokens |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) |
| 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | Vertex AI Supervised Adapter Tuning & Context Distillation | API Prompt Engineering & RAG 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) · Video (~258–300 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 | Amazon Production Safety & Alignment Verified |
| 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, video |
| Output Modalities | text | text |
Gemini 2.0 Flash-Lite vs Amazon Nova Lite: Jawaban Cepat (FAQ)
Which is more intelligent, Gemini 2.0 Flash-Lite or Amazon Nova Lite?
Gemini 2.0 Flash-Lite is more intelligent. It scores 48 compared with 38 on the composite Intelligence Index.
Which model is faster?
Gemini 2.0 Flash-Lite is faster, generating 280 tokens per second compared with 135 tokens per second.
Which model is cheaper to run?
Amazon Nova Lite is cheaper at $0.05 per 1M tokens blended, compared with $0.06 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Amazon Nova Lite has lower latency, with a time to first token of 0.28s compared with 0.29s.
Which model has a larger context window?
Gemini 2.0 Flash-Lite has a larger context window, supporting 1.05M tokens compared with 300K tokens.
Kesimpulan
Baik Gemini 2.0 Flash-Lite (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Amazon Nova Lite (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 2.0 Flash-Lite unggul dalam penalaran dan pemrograman, Gemini 2.0 Flash-Lite memberikan kecepatan generasi token lebih tinggi, dan Amazon Nova Lite lebih hemat biaya untuk penggunaan API skala besar.
Pertanyaan Umum (FAQ)
Mana yang lebih baik untuk coding dan penalaran, Gemini 2.0 Flash-Lite atau Amazon Nova Lite?+
Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 2.0 Flash-Lite memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.
Berapa perbandingan harga API Gemini 2.0 Flash-Lite vs Amazon Nova Lite?+
Gemini 2.0 Flash-Lite mengenakan biaya $0.07 / $0.30 per 1M token input/output, sedangkan Amazon Nova Lite sebesar $0.06 / $0.24. Secara keseluruhan, Amazon Nova Lite lebih hemat biaya.
Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+
Gemini 2.0 Flash-Lite mendukung konteks 1.05M token dibandingkan 300K token pada Amazon Nova Lite, sementara Gemini 2.0 Flash-Lite unggul dalam kecepatan output token per detik.
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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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.
Sumber resmi: Dokumentasi API resmi Google & Amazon serta evaluasi benchmark independen (2026).