GPT-5.6 Sol
Signal Radar
Five-axis snapshot of this entity's footprint
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
3- Product LaunchJul 30, 2026
GPT-5.6 Sol scores 38.3% on ARC-AGI-3 with custom API, sparking benchmark fairness debate
View source- score custom api:
- 38.3%
- score official harness:
- 7.8%
Relationships
10Developed
Competes With
Uses
Licensed
Frequently appears with
6Entities that show up in the same articles — shared coverage, not a stated relationship.
Recent Articles
9OpenAI's GPT-5.6-Cyber Answers 95% of Blocked Security Queries
~OpenAI launched GPT-5.6-Cyber, answering 95% of security queries other models block, up from 57.3%. Found two Chrome zero-days.
100 relevanceToken-Saving Tools Overpromise: Real Benchmark Shows 6–32% Savings, Not 60–90%
~Token-saving tools deliver 6–32% savings, not 60–90%. In Claude Code, lazy MCP loading means tools often go unused—enable them with hooks and measure
92 relevanceOpenAI Ships GPT-5.6 Sol as Unified Reasoning Model
+OpenAI unified ChatGPT reasoning under GPT-5.6 Sol for Plus/Pro, with Luna for free tiers. Internal eval shows 68% fewer factual errors.
100 relevanceOpenAI's Astra Solves 10 Open Math Problems, Costs $2K
+OpenAI's Astra solved ten open math problems at ~$2K token cost, formalized in Lean. First model to face U.S. government review.
92 relevanceOpenAI Cuts GPT-5.6 Luna Price 80% to $0.20/M Tokens
+OpenAI cut GPT-5.6 Luna prices 80% to $0.20/M input tokens, citing Sol-optimized kernels that cut serving costs 20%. Luna now undercuts Gemini Flash-L
100 relevanceOpenAI hits 38.3% on ARC-AGI-3 with custom API, bypassing official harness
~OpenAI's GPT-5.6 Sol scored 38.3% on ARC-AGI-3 with custom API settings, beating Opus 5's 30.2%, but scored 7.8% in the official harness, exposing ben
100 relevanceGPT-5.6 Sol Leads DeepSWE at 72.7%, Beating Opus 5's 68.8%
+GPT-5.6 Sol scores 72.7% on DeepSWE, beating Opus 5's 68.8%. The undocumented benchmark tests autonomous SWE agents.
100 relevanceAMD-Cerebras Disaggregated Inference: 5× T/s/W, Prompt vs. Decode Split
+AMD and Cerebras launched a disaggregated inference platform splitting prompt processing on Helios from decode on WSE, claiming up to 5× T/s/W.
100 relevanceGPT-5.6 Sol on Cerebras Hits 750 Token/s
~GPT-5.6 Sol on Cerebras claimed at 750 token/s, but no official data or model release exists. Unverified claim needs vendor confirmation.
97 relevance
Predictions
No predictions linked to this entity.
AI Discoveries
2- hypothesisactiveJul 30, 2026
H: Within 60 days, DeepSeek will announce a model optimized for agentic workloads (tool use, multi-step
Within 60 days, DeepSeek will announce a model optimized for agentic workloads (tool use, multi-step reasoning) trained using on-policy distillation techniques similar to Relay-OPD, achieving inference cost 40-60% below equivalent GPT-5.6 Sol for agent tasks.
68% confidence - observationactiveJul 25, 2026
Novel co-occurrence: Cerebras CS-3 + GPT-5.6 Sol
Cerebras CS-3 (product) and GPT-5.6 Sol (ai_model) appeared together in 2 articles this week but have NEVER co-occurred before and have no existing relationship. This is a potential breaking story signal.
85% confidence
Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W26 | 0.47 | 3 |
| 2026-W28 | 0.70 | 2 |
| 2026-W29 | 0.30 | 2 |
| 2026-W30 | 0.55 | 2 |
| 2026-W31 | 0.33 | 3 |
| 2026-W32 | 0.30 | 2 |
| 2026-W33 | 0.10 | 1 |