Grok 4.20 (Reasoning) vs o3
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Grok 4.20 (Reasoning) da xAI e o3 da OpenAI são dois modelos de IA de destaque. O Grok 4.20 (Reasoning) oferece uma janela de contexto de 1M tokens a $3.00/$15.00 por milhão de tokens, enquanto o o3 oferece 200K tokens de contexto a $2.00/$8.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.
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Grok 4.20 (Reasoning)
Motor de Raciocínio ProfundoO Grok 4.20 (Reasoning) da xAI é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 1M, velocidade de 95 tokens/s, índice de inteligência de 68
$3.00 / 1M
$15.00 / 1M
1M tokens
68.2%
o3
Motor de Raciocínio ProfundoO o3 da OpenAI é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 200K, velocidade de 75 tokens/s, índice de inteligência de 56/100 e tarifa
$2.00 / 1M
$8.00 / 1M
200K tokens
69.1%
Principais Diferenças em Resumo
- o3 is 1.7x cheaper for API usage (input + output tokens combined).
- Grok 4.20 (Reasoning) has a larger context window (1M vs 200K tokens).
- Grok 4.20 (Reasoning) is faster at 95 tok/s vs 75 tok/s.
- o3 leads on SWE-bench coding (69.1% vs 68.2%).
| Feature | Grok 4.20 (Reasoning) | o3 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 68 | 56 |
Provider | xAI | OpenAI |
Input Price Cost per million input tokens | $3.00 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $15.00 / 1M | $8.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.63 / 1M | $1.55 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 66K | 100K |
Throughput Speed Tokens generated per second | 95 tok/s | 75 tok/s |
SWE-bench Verified Real-world software engineering | 68.2% | 69.1% |
GPQA Diamond Graduate-level reasoning | 72.8% | 76.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.75 / 1M | $0.50 / 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.
Grok 4.20 (Reasoning) · Strengths & Key Advantages
- Janela de contexto de 1M com limite máximo de saída de 66K tokens (SWE-bench Verified 68.2% · GPQA Diamond 72.8%)
- Taxa de transferência rápida de 95 tokens/segundo com latência inicial (TTFT) de 980 ms
- Economia de API competitiva ($3/$15 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
o3 · Strengths & Key Advantages
- Janela de contexto de 200K com limite máximo de saída de 100K tokens (SWE-bench Verified 69.1% · GPQA Diamond 76.5%)
- Taxa de transferência rápida de 75 tokens/segundo com latência inicial (TTFT) de 2800 ms
- Economia de API competitiva ($2/$8 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 | Grok 4.20 (Reasoning) | o3 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.45 | $1.35 |
Output Tokens / Task Tokens generated per task | 45K | 48K |
Reasoning Tokens / Task Thinking tokens burned per task | 28K | 26K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | Grok 4.20 (Reasoning) | o3 |
|---|---|---|
| Official API Model ID (SDK) | grok-4-20-reasoning-latest | o3 |
| API Protocol | xAI REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-03 | 2025-04 |
| Knowledge Cutoff | November 2025 | June 2024 |
| Architecture | Colossus-Scale Reasoning Sparse MoE | Reasoning transformer with adjustable thinking effort |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 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) | Flat rate ($3/1M in) across full 1000K window | Flat rate ($2/1M in) across full 200K window |
| Prompt Cache Policy & TTL | Cached input at $0.75/1M tokens | Automatic prefix caching at $0.5/1M (no extra cache-write fee) |
| 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 | 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) |
| 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 |
| Output Modalities | text | text |
Grok 4.20 (Reasoning) vs o3: Respostas Rápidas (FAQ)
Which is more intelligent, Grok 4.20 (Reasoning) or o3?
Grok 4.20 (Reasoning) is more intelligent. It scores 68 compared with 56 on the composite Intelligence Index.
Which model is faster?
Grok 4.20 (Reasoning) is faster, generating 95 tokens per second compared with 75 tokens per second.
Which model is cheaper to run?
o3 is cheaper at $1.55 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Grok 4.20 (Reasoning) has lower latency, with a time to first token of 0.98s compared with 2.80s.
Which model has a larger context window?
Grok 4.20 (Reasoning) has a larger context window, supporting 1M tokens compared with 200K tokens.
Veredito
Tanto Grok 4.20 (Reasoning) (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) quanto o3 (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Grok 4.20 (Reasoning) lidera em inteligência geral e programação, Grok 4.20 (Reasoning) oferece geração mais rápida e o3 apresenta o melhor custo-benefício em produção.
Perguntas Frequentes (FAQ)
Qual é melhor para programação e raciocínio, Grok 4.20 (Reasoning) ou o3?+
Nas avaliações de inteligência e código, Grok 4.20 (Reasoning) leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.
Qual modelo tem a API mais barata, Grok 4.20 (Reasoning) ou o3?+
O Grok 4.20 (Reasoning) custa $3.00 / $15.00 por 1M de tokens (entrada/saída) e o o3 custa $2.00 / $8.00. No custo combinado, o3 é mais econômico.
Qual modelo possui maior janela de contexto e velocidade?+
O Grok 4.20 (Reasoning) suporta 1M tokens de contexto contra 200K tokens do o3, enquanto Grok 4.20 (Reasoning) entrega maior velocidade de geração.
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: Documentação oficial de API da xAI e OpenAI e benchmarks independentes (2026).