reasoning models
11 articles tagged with reasoning models
OpenAI's GPT-5.6 Sol Adds Five Reasoning Effort Settings, Follows DeepSeep-R1 RLVR Training Method
OpenAI released GPT-5.6 Sol, a new reasoning model family that comes in three sizes with roughly five to six reasoning-effort settings each. The release follows the DeepSeek-R1 methodology of using reinforcement learning with verifiable rewards (RLVR), nearly two years after OpenAI's original o1 model popularized LLM-based reasoning.
xAI's Grok 4.3 now available on AWS Bedrock with 1M token context and configurable reasoning
xAI has made Grok 4.3 generally available on Amazon Bedrock, marking xAI's debut as a Bedrock model provider. The multimodal model offers a 1 million token context window, configurable reasoning effort (none/low/medium/high), and runs on Bedrock's Mantle inference engine using OpenAI-compatible APIs.
OpenAI GPT-5.6 Sol, Terra, and Luna launch on Amazon Bedrock with 80-point Coding Agent Index score
OpenAI's GPT-5.6 model family is now generally available on Amazon Bedrock, introducing a three-tier system: Sol (flagship reasoning), Terra (balanced production), and Luna (fast inference). According to OpenAI, Sol scores 80 points on the Artificial Analysis Coding Agent Index and 73.5% on ExploitBench, establishing new benchmarks while using less than half the output tokens of competing models.
OpenAI releases GPT-5.6 in three tiers with limited government-coordinated rollout
OpenAI announced GPT-5.6, a three-tier model series launching through a limited preview coordinated with the U.S. government. The models—Sol, Terra, and Luna—are priced from $1/$6 to $5/$30 per million input/output tokens and introduce new max and ultra reasoning modes.
OpenAI reasoning model solves 80-year math problem as Anthropic hits $10.9B quarterly revenue
In a two-hour span Wednesday, OpenAI announced its reasoning model autonomously solved an 80-year-old geometry problem while Anthropic reported it's on track for $10.9 billion in Q2 revenue with $559 million in operating profit—two years ahead of internal projections. The developments came alongside Nvidia's $81.6 billion quarter, Anthropic's $1.25 billion monthly SpaceX compute deal, and a White House AI executive order signing.
OpenAI claims reasoning model disproved 80-year-old Erdős conjecture in geometry
OpenAI claims its new reasoning model has produced an original mathematical proof disproving a geometry conjecture first posed by Paul Erdős in 1946. The company says this is the first time AI has autonomously solved a prominent open problem central to a field of mathematics, with verification from mathematicians including Thomas Bloom and Noga Alon.
OpenAI releases GPT-Realtime-2 reasoning voice model with two specialized variants for translation and transcription
OpenAI has released three new realtime voice models through its Realtime API: GPT-Realtime-2 with GPT-5-class reasoning capabilities, GPT-Realtime-Translate supporting 70 input languages, and GPT-Realtime-Whisper for streaming transcription. The models are priced at $32-64 per 1M audio tokens for GPT-Realtime-2, and $0.017-0.034 per minute for the specialized variants.
xAI releases Grok 4.3 reasoning model with 1M token context at $1.25/M input tokens
xAI has released Grok 4.3, a reasoning model with a 1 million token context window and no output token limit. The model accepts text and image inputs, has always-on reasoning that cannot be disabled, and uses tiered pricing starting at $1.25 per million input tokens and $2.50 per million output tokens.
OpenAI Releases GPT-5.5 Pro with 1M+ Token Context Window, $30 Per Million Input Tokens
OpenAI has released GPT-5.5 Pro, a high-capability model with a 1,050,000 token context window (922K input, 128K output) priced at $30 per million input tokens and $180 per million output tokens. The model supports text and image inputs and is optimized for deep reasoning, agentic coding, and multi-step workflows.
DeepSeek Releases V4 Pro: 1.6T Parameter MoE Model with 1M Token Context at $1.74/M Input Tokens
DeepSeek has released V4 Pro, a Mixture-of-Experts model with 1.6 trillion total parameters and 49 billion activated parameters. The model supports a 1-million-token context window and costs $1.74 per million input tokens and $3.48 per million output tokens.
Tencent Releases Hy3 Preview MoE Model with 262K Context and Three Reasoning Modes
Tencent has released Hy3 Preview, a Mixture-of-Experts model offering 262,144 token context window and three configurable reasoning modes (disabled, low, high) for production agentic workflows. The model is available for free through OpenRouter.