Claude Fable 5.1 vs GPT-6 Sol
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Claude Fable 5.1 by Anthropic 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.
Claude Fable 5.1
Frontière auditabled'Anthropic le plus élevé-intelligence commercial modèle de fondation de late 2026, offrant 75% cheaper prompt cache reads, d'entreprise données controls, et auditable raisonnement.
$10.00 / 1M
$50.00 / 1M
1M tokens
83.8%
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 5.0x cheaper for API usage (input + output tokens combined).
- GPT-6 Sol is faster at 116 tok/s vs 65 tok/s.
- Claude Fable 5.1 leads on SWE-bench coding (83.8% vs 82.1%).
| Caractéristique | Claude Fable 5.1 | GPT-6 Sol |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 82 | 93 |
Provider | Anthropic | OpenAI |
Input Price Cost per million input tokens | $10.00 / 1M | $2.00 / 1M |
Output Price Cost per million output tokens | $50.00 / 1M | $10.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $7.17 / 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 | 128K | 128K |
Throughput Speed Tokens generated per second | 65 tok/s | 116 tok/s |
SWE-bench Verified Real-world software engineering | 83.8% | 82.1% |
GPQA Diamond Graduate-level reasoning | 81.6% | 80.6% |
Cached Input Price Prompt caching discount per 1M tokens | $0.25 / 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.
Claude Fable 5.1 · Strengths & Key Advantages
- haut de gamme-ranked intelligence index avec 75% reduced prompt caching coût ($0.25/M tokens)
- 60% reduction dans cybersecurity vulnerability false-positives
- d'entreprise de pointe Safeguards fournissant client-controlled auditing keys
Considerations & Trade-offs
- Premium $10/$50 token economics unsuitable pour generic grand public tâches
- outil choice paramètre "any" est pas supported dans current API specification
- Conservative sécurité filters may trigger verbose refusal explanations sur dual-use recherche
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 | Claude Fable 5.1 | GPT-6 Sol |
|---|---|---|
Cost per Task Estimated USD to finish one task | $10.97 | $2.00 |
Output Tokens / Task Tokens generated per task | 72K | 62K |
Reasoning Tokens / Task Thinking tokens burned per task | 37K | 36K |
Spécifications Techniques
Architecture, release timeline, capabilities, and modalities.
| Caractéristique | Claude Fable 5.1 | GPT-6 Sol |
|---|---|---|
| Official API Model ID (SDK) | claude-fable-5-1-20260901 | gpt-6-sol |
| API Protocol | Anthropic Messages API + AWS Bedrock + Vertex AI | OpenAI Responses API & Chat Completions v1 |
| Release Date | 2026-09 | 2026-09 |
| Knowledge Cutoff | June 2026 | April 2026 |
| Architecture | Frontier Auditable Multimodal Transformer | Cost-efficient frontier unified reasoning model |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 4,000 – 10,000 RPM (Tier 4 + Priority 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) | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens | Flat rate ($2/1M in) across full 1000K window |
| Prompt Cache Policy & TTL | $0.25/1M cached read (90% off); 5-min default & 1-hour extended TTL | Automatic prefix caching at $0.1/1M (no extra cache-write fee) |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | 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 | Native Web Search Citations + Code Execution Tool + MCP Connectors | Native Web Search tool + Hosted Code Interpreter & File Search RAG |
| Official Fine-Tuning Support | Custom Model Tuning via Amazon Bedrock & Prompt 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated | 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 |
Claude Fable 5.1 vs GPT-6 Sol: Réponses Rapides (FAQ)
Which is more intelligent, Claude Fable 5.1 or GPT-6 Sol?
GPT-6 Sol is more intelligent. It scores 93 compared with 82 on the composite Intelligence Index.
Which model is faster?
GPT-6 Sol is faster, generating 116 tokens per second compared with 65 tokens per second.
Which model is cheaper to run?
GPT-6 Sol is cheaper at $1.47 per 1M tokens blended, compared with $7.17 (7:2:1 cache:input:output ratio).
Which model has lower latency?
GPT-6 Sol has lower latency, with a time to first token of 1.16s compared with 1.45s.
Verdict
Choose Claude Fable 5.1 for élevé-stakes security auditing, automatisé vulnerability discovery, et mission critique d'entreprise agents, or choose GPT-6 Sol for coût-sensitive de pointe travail et codage agentique.
Questions fréquentes
Which is cheaper: Claude Fable 5.1 or GPT-6 Sol?+
Claude Fable 5.1 costs $10/1M input and $50/1M output tokens, while GPT-6 Sol costs $2/1M input and $10/1M output tokens.
Which model has a larger context window: Claude Fable 5.1 or GPT-6 Sol?+
Claude Fable 5.1 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.
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Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.
Sources: Anthropic & OpenAI Official Documentation