coding models

10 articles tagged with coding models

October 16, 2026
product updateReflection Ai

Hugging Face Transformers v5.20.1 adds Reflection AI's Beam model and fixes loading on older torch

Hugging Face's Transformers v5.20.1 adds Beam, a model from Reflection AI that the release notes describe as token-efficient, frontier-scale, and aimed at coding and agentic work. The patch also fixes a regression that broke model loading on older torch versions. Beam's specifications and pricing were not disclosed in the release notes.

September 21, 2026
model releasexAI

xAI Ships Grok 4.7, Cuts Price to $1.60/$4.80 per 1M Tokens With 500K Context

xAI has released Grok 4.7, the successor to Grok 4.6, listed on OpenRouter with a 500K token context window and pricing of $1.60 per 1M input tokens and $4.80 per 1M output tokens. The company claims improvements in long-running software engineering tasks, self-verification, and professional document drafting.

August 26, 2026
model release

Z.ai Launches GLM-5.3-Flash With 1M-Token Context and Hybrid Attention Architecture

Z.ai has released GLM-5.3-Flash, a native multimodal model built for coding and long-horizon agent tasks, featuring a 1M-token context window and a hybrid sparse-linear attention architecture. The model is available via OpenRouter at a discounted $0.075/$0.25 per 1M tokens through September 2026.

August 11, 2026
model release+1

Upstage Releases Solar Pro 4 With 524K Token Context Window at $0.03/M Input Pricing

Upstage has released Solar Pro 4, a large language model with a 524K token context window aimed at agentic workflows, document processing, and coding. The model is priced at $0.03 per million input tokens and $0.12 per million output tokens, and is available now via OpenRouter.

July 20, 2026
benchmark

Moonshot's Kimi K3 tops Code Arena frontend benchmark at 1,679 points but scores only 39% on FrontierMath Tier 4

Moonshot AI's Kimi K3 model has claimed first place in the Code Arena frontend benchmark with a score of 1,679, surpassing Claude Fable 5 (1,631) and GPT-5.6 Sol (1,618). However, the model achieves only 39% accuracy on FrontierMath Tier 4, while top Western models from OpenAI and Anthropic reach near 90% on the same expert-level math tasks.

July 18, 2026
model release+1

Moonshot AI's Kimi K3 tops coding benchmarks, priced 50% below OpenAI's GPT-5.6 Sol

Beijing-based Moonshot AI released its Kimi K3 model Friday, which topped Arena's front-end coding capability rankings. The model is priced at half the cost of OpenAI's GPT-5.6 Sol, according to Bank of America research analysts, marking what Arena CEO calls "the single biggest release of the year."

July 8, 2026
model release

SpaceXAI launches Grok 4.5 at $2/$6 per million tokens, targets coding and enterprise work

Elon Musk's SpaceXAI has released Grok 4.5, priced at $2 per million input tokens and $6 per million output tokens. The model, trained alongside recently-acquired Cursor, is positioned as a coding and enterprise tool that claims to outperform Claude Opus 4.8 on several benchmarks while undercutting it on price by 60-76%.

May 20, 2026
model releasexAI

xAI Launches Grok Build 0.1: Coding Model with 256K Context for Agentic Workflows

xAI has released Grok Build 0.1, a coding-specialized model with a 256K context window and unlimited text output. The model is designed for agentic software engineering workflows and powers xAI's Grok Build CLI tool.

April 24, 2026
model releaseDeepSeek

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.

April 20, 2026
model releaseMoonshot AI+1

Moonshot AI Releases Kimi K2.6: 1T-Parameter MoE Model with 256K Context and Agent Swarm Capabilities

Moonshot AI has released Kimi K2.6, an open-source multimodal model with 1 trillion total parameters (32B activated) and 256K context window. The model achieves 80.2% on SWE-Bench Verified, 58.6% on SWE-Bench Pro, and supports horizontal scaling to 300 sub-agents executing 4,000 coordinated steps.