Grok 4.20 (Reasoning) vs GPT-6 Sol
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Grok 4.20 (Reasoning) by xAI against GPT-6 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.
Changez et Comparez les Modèles
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Live comparison: no in-depth editorial review has been published for this pair yet.
Grok 4.20 (Reasoning)
Analyse de documentsde xAI modèle de raisonnement développé pour heavy document analyse, complexe logique deduction, et à long terme agentic utilisation d'outils.
$3.00 / 1M
$15.00 / 1M
1M tokens
68.2%
GPT-6 Sol
GPT-6 économiqueun GPT-6 palier offrant complexe codage et professionnel travail à half le prix de GPT-5.6 Sol.
$2.00 / 1M
$10.00 / 1M
1M tokens
82.1%
Différences Clés en un Coup d’Œil
- GPT-6 Sol is 1.6x cheaper for API usage (input + output tokens combined).
- GPT-6 Sol is faster at 116 tok/s vs 95 tok/s.
- GPT-6 Sol leads on SWE-bench coding (82.1% vs 68.2%).
| Caractéristique | Grok 4.20 (Reasoning) | GPT-6 Sol |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 68 | 93 |
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 | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $2.63 / 1M | $1.47 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 66K | 128K |
Throughput Speed Tokens generated per second | 95 tok/s | 116 tok/s |
SWE-bench Verified Real-world software engineering | 68.2% | 82.1% |
GPQA Diamond Graduate-level reasoning | 72.8% | 80.6% |
Cached Input Price Prompt caching discount per 1M tokens | $0.75 / 1M | $0.10 / 1M |
Qui gagne où ?
At-a-glance decision frameworkScores de Benchmarks Vérifiés
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.
Latence et Temps de Réponse
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulateur Interactif de Coût de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Grok 4.20 (Reasoning) · Strengths & Key Advantages
- Expansive 1M-token fenêtre de contexte tailored pour dense dépôt et juridique document intake
- Robust multi-étapes chaîne de pensée raisonnement avec persistent à long terme outil exécution
- multimodal ingestion à travers technique diagrams, multi-page PDFs, et complexe charts
- Direct en temps réel knowledge synthèse de xAI Colossus cluster
Considerations & Trade-offs
- Outperformed par Grok 4.7 et late-2026 de pointe leaders sur compétitif codage benchmarks
- supérieur sortie latence during étendu chaîne de pensée génération cycles
GPT-6 Sol · Strengths & Key Advantages
- Roughly 50% cheaper que GPT-5.6 Sol
- Error rate close à half du previous génération
- solide codage agentique et professionnel flux de travail
- Roughly half le prix de GPT-5.6 Sol avec meilleur error rates
Considerations & Trade-offs
- Weaker que GPT-6 Astra sur le hardest tâches
- Sits close dans prix à GPT-6.1 Sol, which est stronger
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Grok 4.20 (Reasoning) | GPT-6 Sol |
|---|---|---|
Cost per Task Estimated USD to finish one task | $1.45 | $2.00 |
Output Tokens / Task Tokens generated per task | 45K | 62K |
Reasoning Tokens / Task Thinking tokens burned per task | 28K | 36K |
Spécifications Techniques
Architecture, release timeline, capabilities, and modalities.
| Caractéristique | Grok 4.20 (Reasoning) | GPT-6 Sol |
|---|---|---|
| Official API Model ID (SDK) | grok-4-20-reasoning-latest | gpt-6-sol |
| API Protocol | xAI REST API (OpenAI-Compatible) | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-03 | 2026-09 |
| Knowledge Cutoff | November 2025 | April 2026 |
| Architecture | Colossus-Scale Reasoning Sparse MoE | Cost-efficient frontier unified reasoning model |
| 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) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($3/1M in) across full 1000K window | Flat rate ($2/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | Cached input at $0.75/1M tokens | Automatic prefix caching at $0.1/1M (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 GPT-6 Sol: Réponses Rapides (FAQ)
Which is more intelligent, Grok 4.20 (Reasoning) or GPT-6 Sol?
GPT-6 Sol is more intelligent. It scores 93 compared with 68 on the composite Intelligence Index.
Which model is faster?
GPT-6 Sol is faster, generating 116 tokens per second compared with 95 tokens per second.
Which model is cheaper to run?
GPT-6 Sol is cheaper at $1.47 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 1.16s.
Verdict
Choose Grok 4.20 (Reasoning) for profond document analyse, multi-stage d'entreprise recherche, et extensive outil-driven flux de travail, or choose GPT-6 Sol for coût-sensitive de pointe travail et codage agentique.
Questions fréquentes
Which is cheaper: Grok 4.20 (Reasoning) or GPT-6 Sol?+
Grok 4.20 (Reasoning) costs $3/1M input and $15/1M output tokens, while GPT-6 Sol costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: Grok 4.20 (Reasoning) or GPT-6 Sol?+
Grok 4.20 (Reasoning) supports 1M tokens whereas GPT-6 Sol supports 1M tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Aion-3.0 vs Aion-Mini: Benchmarks, Pricing & Speed ComparisonComparer
- Aion-3.0 vs Gemini 3.6 Flash: Benchmarks, Pricing & Speed ComparisonComparer
- Aion-Mini vs Laguna XS 2.1: Benchmarks, Pricing & Speed ComparisonComparer
- Aya Expanse 32B vs Llama 3.2 90B Vision: Benchmarks, Pricing & Speed ComparisonComparer
- Aya Expanse 8B vs Command R+: Benchmarks, Pricing & Speed ComparisonComparer
- Aya Expanse 8B vs Qwen 2.5 7B Instruct: Benchmarks, Pricing & Speed ComparisonComparer
Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.
Sources: xAI & OpenAI Official Documentation