Head-to-Head Model Comparison

Grok Build 0.1 vs GPT-6.1 Sol

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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xAIOpenAIflagshipflagship

Compare Grok Build 0.1 by xAI against GPT-6.1 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.

Confronto Diretto (VS)

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xAI

Grok Build 0.1

Modello di Ragionamento Profondo

Grok Build 0.1 di xAI è un modello di intelligenza artificiale con finestra di contesto da 256K token e tariffazione API di $1.0/1M token in input e $2.0/1M in output, ideale per coding, ragionamento e automazione aziendale.

Intelligence Index65 / 100
Input Token:

$1.00 / 1M

Output Token:

$2.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

69.8%

OpenAI

GPT-6.1 Sol

Modello di Ragionamento Profondo

GPT-6.1 Sol di OpenAI è un modello di intelligenza artificiale con finestra di contesto da 1M token e tariffazione API di $2.0/1M token in input e $10.0/1M in output, ideale per coding, ragionamento e automazione aziendale.

Intelligence Index94 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.3%

Differenze Chiave a Colpo d’Occhio

  • Grok Build 0.1 is 3.3x cheaper for API usage (input + output tokens combined).
  • GPT-6.1 Sol has a larger context window (1M vs 256K tokens).
  • GPT-6.1 Sol is faster at 120 tok/s vs 120 tok/s.
  • GPT-6.1 Sol leads on SWE-bench coding (82.3% vs 69.8%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGrok Build 0.1GPT-6.1 Sol
Intelligence Index
Composite reasoning & knowledge score (0-100)
6594
Provider
xAIOpenAI
Input Price
Cost per million input tokens
$1.00 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$2.00 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.57 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
66K128K
Throughput Speed
Tokens generated per second
120 tok/s120 tok/s
SWE-bench Verified
Real-world software engineering
69.8%82.3%
GPQA Diamond
Graduate-level reasoning
68.2%80.8%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.10 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
GPT-6.1 Sol
+12.5% SWE-bench lead
Cost
Grok Build 0.1
3.3x cheaper monthly runtime
Speed
GPT-6.1 Sol
+0% faster generation
Context
GPT-6.1 Sol
1M tokens window

Punteggi Benchmark Verificati

Official evaluation metrics verified by independent third-party research labs.

Grok Build 0.1GPT-6.1 Sol
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

69.8%vs82.3%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

68.2%vs80.8%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

82.5%vs89.9%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1375ptsvs1519pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

10.5%vs18.1%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

46.2%vs63.6%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

42%vs54.8%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

68.5%vs79.7%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

82.1%vs93.5%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

80.4%vs91%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

120 tok/s vs120 tok/s

Latenza e Tempo di Risposta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better
Grok Build 0.10.55s
GPT-6.1 Sol1.12s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok Build 0.14.72s
GPT-6.1 Sol5.29s

Simulatore Interattivo dei Costi Token

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Grok Build 0.1 Monthly API Bill
$3.67 / month
$1/1M in · $2/1M out
GPT-6.1 Sol Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Grok Build 0.1 saves approximately $8.48 / month (70%) under this workload.3.3x Savings

Grok Build 0.1 · Strengths & Key Advantages

  • Architettura Code-Specialized Autoregressive Transformer avanzata di xAI con supporto fino a 256K token di contesto
  • Ottimo rapporto qualità-prezzo ($1.0/1M input, $2.0/1M output) e bassa latenza
  • Elevate prestazioni nei benchmark di programmazione, logica e comprensione multilingue
Considerations & Trade-offs
  • L'utilizzo intensivo di contesti molto ampi richiede un attento monitoraggio dei costi dei token
  • Per casi d'uso verticali complessi è consigliabile un prompt engineering mirato

GPT-6.1 Sol · Strengths & Key Advantages

  • Architettura Near-Astra unified reasoning model avanzata di OpenAI con supporto fino a 1M token di contesto
  • Ottimo rapporto qualità-prezzo ($2.0/1M input, $10.0/1M output) e bassa latenza
  • Elevate prestazioni nei benchmark di programmazione, logica e comprensione multilingue
Considerations & Trade-offs
  • L'utilizzo intensivo di contesti molto ampi richiede un attento monitoraggio dei costi dei token
  • Per casi d'uso verticali complessi è consigliabile un prompt engineering mirato

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricGrok Build 0.1GPT-6.1 Sol
Cost per Task
Estimated USD to finish one task
$0.95$2.05
Output Tokens / Task
Tokens generated per task
42K62K
Reasoning Tokens / Task
Thinking tokens burned per task
18K36K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureGrok Build 0.1GPT-6.1 Sol
Official API Model ID (SDK)grok-build-0-1-latestgpt-6-1-sol
API ProtocolxAI REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2026-042026-09
Knowledge CutoffJanuary 2026April 2026
ArchitectureCode-Specialized Autoregressive TransformerNear-Astra unified reasoning model
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1/1M in) across full 256K windowFlat rate ($2/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.25/1M tokensAutomatic prefix caching at $0.1/1M (no extra cache-write fee)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationxAI Production Safety & Alignment VerifiedOpenAI Preparedness Framework Audited & System Card Published
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, visiontext, vision
Output Modalitiestexttext

Grok Build 0.1 vs GPT-6.1 Sol: Risposte Rapide (FAQ)

Which is more intelligent, Grok Build 0.1 or GPT-6.1 Sol?

GPT-6.1 Sol is more intelligent. It scores 94 compared with 65 on the composite Intelligence Index.

Which model is cheaper to run?

Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $1.47 (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 1.12s.

Which model has a larger context window?

GPT-6.1 Sol has a larger context window, supporting 1M tokens compared with 256K tokens.

Verdetto

Choose Grok Build 0.1 for automazione enterprise, sviluppo software, agenti ia autonomi e pipeline di produzione xai, or choose GPT-6.1 Sol for automazione enterprise, sviluppo software, agenti ia autonomi e pipeline di produzione openai.

Domande Frequenti (FAQ)

Which is cheaper: Grok Build 0.1 or GPT-6.1 Sol?+

Grok Build 0.1 costs $1/1M input and $2/1M output tokens, while GPT-6.1 Sol costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Grok Build 0.1 or GPT-6.1 Sol?+

Grok Build 0.1 supports 256K tokens whereas GPT-6.1 Sol supports 1M tokens.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

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: xAI & OpenAI Official Documentation