Claude Opus 4.6 vs Grok Build 0.1
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Claude Opus 4.6 di Anthropic e Grok Build 0.1 di xAI sono due modelli di IA di riferimento. Claude Opus 4.6 offre una finestra di contesto di 1M token a $5.00/$25.00 per milione di token, mentre Grok Build 0.1 mette a disposizione 256K token di contesto a $1.00/$2.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.
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Claude Opus 4.6
Motore di Ragionamento ProfondoClaude Opus 4.6 di Anthropic è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 1M, velocità di 55 token/s, indice di intelligenza di 65/100 e tarif
$5.00 / 1M
$25.00 / 1M
1M tokens
78.4%
Grok Build 0.1
Leader in Programmazione e CodiceGrok Build 0.1 di xAI è un modello di IA progettato per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, con finestra di contesto da 256K, velocità di 120 token/s, indice di intelligenza di 65/100 e tariffa
$1.00 / 1M
$2.00 / 1M
256K tokens
69.8%
Differenze Chiave a Colpo d’Occhio
- Grok Build 0.1 is 8.4x cheaper for API usage (input + output tokens combined).
- Claude Opus 4.6 has a larger context window (1M vs 256K tokens).
- Grok Build 0.1 is faster at 120 tok/s vs 55 tok/s.
- Claude Opus 4.6 leads on SWE-bench coding (78.4% vs 69.8%).
| Feature | Claude Opus 4.6 | Grok Build 0.1 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 65 | 65 |
Provider | Anthropic | xAI |
Input Price Cost per million input tokens | $5.00 / 1M | $1.00 / 1M |
Output Price Cost per million output tokens | $25.00 / 1M | $2.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $3.85 / 1M | $0.57 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 256K tokens~384 A4 pages of text |
Max Output Tokens Per single request | 128K | 66K |
Throughput Speed Tokens generated per second | 55 tok/s | 120 tok/s |
SWE-bench Verified Real-world software engineering | 78.4% | 69.8% |
GPQA Diamond Graduate-level reasoning | 76.5% | 68.2% |
Cached Input Price Prompt caching discount per 1M tokens | $0.50 / 1M | $0.25 / 1M |
Chi vince in ogni categoria?
At-a-glance decision frameworkPunteggi Benchmark Verificati
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.
Latenza e Tempo di Risposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulatore Interattivo dei Costi Token
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Claude Opus 4.6 · Strengths & Key Advantages
- Finestra di contesto da 1M con capacità massima di output fino a 128K token (SWE-bench Verified 78.4% · GPQA Diamond 76.5%)
- Throughput elevato di 55 token/secondo con latenza al primo token (TTFT) di soli 1900 ms
- Economia API competitiva ($5/$25 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
- Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
- Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API
Grok Build 0.1 · Strengths & Key Advantages
- Finestra di contesto da 256K con capacità massima di output fino a 66K token (SWE-bench Verified 69.8% · GPQA Diamond 68.2%)
- Throughput elevato di 120 token/secondo con latenza al primo token (TTFT) di soli 550 ms
- Economia API competitiva ($1/$2 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
- Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
- Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Claude Opus 4.6 | Grok Build 0.1 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $5.49 | $0.95 |
Output Tokens / Task Tokens generated per task | 72K | 42K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 18K |
Specifiche Tecniche
Architecture, release timeline, capabilities, and modalities.
| Feature | Claude Opus 4.6 | Grok Build 0.1 |
|---|---|---|
| Official API Model ID (SDK) | claude-opus-4-6-20260201 | grok-build-0-1-latest |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | xAI REST API (OpenAI-Compatible) |
| Release Date | 2026-02 | 2026-04 |
| Knowledge Cutoff | December 2025 | January 2026 |
| Architecture | Megacontext Frontier Reasoning Transformer | Code-Specialized Autoregressive Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 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 ($1/1M in) across full 256K window |
| Prompt Cache Policy & TTL | $0.5/1M cached read (90% off); 5-min default & 1-hour extended TTL | Cached input at $0.25/1M 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 | Native Web Search Citations + Code Execution Tool + MCP Connectors | Real-time Web & X (Twitter) Search Grounding + Code Execution |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt Distillation | API Prompt Engineering & RAG Distillation |
| 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | xAI 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 | text, vision |
| Output Modalities | text | text |
Claude Opus 4.6 vs Grok Build 0.1: Risposte Rapide (FAQ)
Which model is faster?
Grok Build 0.1 is faster, generating 120 tokens per second compared with 55 tokens per second.
Which model is cheaper to run?
Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $3.85 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Grok Build 0.1 has lower latency, with a time to first token of 0.55s compared with 1.90s.
Which model has a larger context window?
Claude Opus 4.6 has a larger context window, supporting 1M tokens compared with 256K tokens.
Verdetto
Sia Claude Opus 4.6 (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Grok Build 0.1 (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Claude Opus 4.6 guida nei benchmark di ragionamento e programmazione, Grok Build 0.1 garantisce una generazione più rapida e Grok Build 0.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.
Domande Frequenti (FAQ)
Quale modello è migliore per coding e ragionamento, Claude Opus 4.6 o Grok Build 0.1?+
Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude Opus 4.6. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.
Qual è la differenza di prezzo API tra Claude Opus 4.6 e Grok Build 0.1?+
Claude Opus 4.6 costa $5.00 / $25.00 per milione di token di input/output, mentre Grok Build 0.1 costa $1.00 / $2.00. Nel costo combinato, Grok Build 0.1 risulta più economico.
Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+
Claude Opus 4.6 supporta 1M token di contesto contro 256K token di Grok Build 0.1, mentre Grok Build 0.1 offre una velocità di generazione superiore.
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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- Claude Opus 4.7 vs Claude Opus 4.6: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Grok 4.3 vs Grok Build 0.1: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Grok Build 0.1 vs Grok 4.20 (Reasoning): Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
- Aion-3.0 vs Aion-Mini: Confronto Benchmark, Prezzi API e Velocità (2026)Confronta
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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.
Fonti ufficiali: Documentazione API ufficiale di Anthropic e xAI, schede di sistema e benchmark indipendenti (2026).