Amazon Nova Micro vs Gemini 4 Argon
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Amazon Nova Micro by Amazon against Gemini 4 Argon by Google 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.
Amazon Nova Micro
Modelo Leve e EconômicoO Amazon Nova Micro da Amazon é um modelo de IA projetado para máxima economia por token e alto desempenho em escala de produção, oferecendo janela de contexto de 128K, velocidade de 175 tokens/s, índice de inteligência de 34/100 e tarifa d
$0.04 / 1M
$0.14 / 1M
128K tokens
23%
Gemini 4 Argon
IA Multimodal NativaO Gemini 4 Argon da Google é um modelo de IA projetado para compreensão multimodal nativa de texto e imagem e leitura visual de documentos, oferecendo janela de contexto de 1M, velocidade de 115 tokens/s, índice de inteligência de 97/100 e
$2.00 / 1M
$10.00 / 1M
1M tokens
81.9%
Principais Diferenças em Resumo
- Amazon Nova Micro is 63.3x cheaper for API usage (input + output tokens combined).
- Gemini 4 Argon has a larger context window (1M vs 128K tokens).
- Amazon Nova Micro is faster at 175 tok/s vs 115 tok/s.
- Gemini 4 Argon leads on SWE-bench coding (81.9% vs 23.0%).
| Feature | Amazon Nova Micro | Gemini 4 Argon |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 34 | 97 |
Provider | Amazon | |
Input Price Cost per million input tokens | $0.04 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $0.14 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.03 / 1M | $1.47 / 1M |
Context Window Maximum input + output tokens | 128K tokens~192 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 8K | 1000K |
Throughput Speed Tokens generated per second | 175 tok/s | 115 tok/s |
SWE-bench Verified Real-world software engineering | 23% | 81.9% |
GPQA Diamond Graduate-level reasoning | 33.5% | 81.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.10 / 1M |
Quem vence em cada categoria?
At-a-glance decision frameworkPontuações de Benchmarks Verificadas
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.
Latência e Tempo de Resposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interativo de Custo de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Amazon Nova Micro · Strengths & Key Advantages
- Janela de contexto de 128K com limite máximo de saída de 8K tokens (SWE-bench Verified 23% · GPQA Diamond 33.5%)
- Taxa de transferência rápida de 175 tokens/segundo com latência inicial (TTFT) de 180 ms
- Economia de API competitiva ($0.035/$0.14 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade
Gemini 4 Argon · Strengths & Key Advantages
- Janela de contexto de 1M com limite máximo de saída de 1M tokens (SWE-bench Verified 81.9% · GPQA Diamond 81.5%)
- Taxa de transferência rápida de 115 tokens/segundo com latência inicial (TTFT) de 850 ms
- Economia de API competitiva ($2/$10 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Amazon Nova Micro | Gemini 4 Argon |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.03 | $2.45 |
Output Tokens / Task Tokens generated per task | 15K | 75K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 36K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | Amazon Nova Micro | Gemini 4 Argon |
|---|---|---|
| Official API Model ID (SDK) | nova-micro | models/gemini-4-argon |
| API Protocol | Amazon REST API (OpenAI-Compatible) | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2024-12 | 2026-09 |
| Knowledge Cutoff | October 2024 | June 2026 |
| Architecture | Ultra-Fast Text-Only Dense Transformer | Pathways Multimodal Sparse Mixture-of-Experts |
| 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) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.035/1M in) across full 128K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Cached input at $0.009/1M tokens | Implicit + Explicit Context Caching at $0.1/1M with configurable TTL |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · 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 | Amazon Production Safety & Alignment Verified | Google DeepMind Frontier Safety Framework 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 | text, vision, audio, video |
| Output Modalities | text | text |
Amazon Nova Micro vs Gemini 4 Argon: Respostas Rápidas (FAQ)
Which is more intelligent, Amazon Nova Micro or Gemini 4 Argon?
Gemini 4 Argon is more intelligent. It scores 97 compared with 34 on the composite Intelligence Index.
Which model is faster?
Amazon Nova Micro is faster, generating 175 tokens per second compared with 115 tokens per second.
Which model is cheaper to run?
Amazon Nova Micro is cheaper at $0.03 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Amazon Nova Micro has lower latency, with a time to first token of 0.18s compared with 0.85s.
Which model has a larger context window?
Gemini 4 Argon has a larger context window, supporting 1M tokens compared with 128K tokens.
Veredito
Choose Amazon Nova Micro for indicado para máxima economia por token e alto desempenho em escala de produção, arquiteturas rag corporativas e integração escalável via api., or choose Gemini 4 Argon for indicado para compreensão multimodal nativa de texto e imagem e leitura visual de documentos, arquiteturas rag corporativas e integração escalável via api..
Perguntas Frequentes (FAQ)
Which is cheaper: Amazon Nova Micro or Gemini 4 Argon?+
Amazon Nova Micro costs $0.035/1M input and $0.14/1M output tokens, while Gemini 4 Argon costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: Amazon Nova Micro or Gemini 4 Argon?+
Amazon Nova Micro supports 128K tokens whereas Gemini 4 Argon 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.
Fontes oficiais: Amazon & Google Official Documentation