Your Go-Anywhere Daily AI

Anthropic released Claude Haiku 5.5 on October 7, 2026, with API id claude-haiku-5-5. It accepts text and images and produces text, with a 1M-token context window, up to 128K output and a June 2026 knowledge cutoff. The Batch beta supports up to 300K output tokens. For prompts up to 100K tokens, pricing is $0.10 input and $0.50 output per million tokens; above that threshold, pricing is $0.50 input and $2.50 output per million tokens. Cache reads cost $0.01 per million tokens for prompts up to 100K tokens and $0.05 per million tokens above that threshold, and the Batch API discounts input and output by 50%.

OpenAI's September 29, 2026 DevDay model and an upgrade to GPT-6 Sol, priced at $2 input and $10 output per million tokens with cached input at $0.10 (95% off standard input, and half of GPT-6 Sol's cache price). Prompts with more than 272K input tokens are billed at 2x the input and cache rates and 1.5x the output rate for the full request. It accepts text and image input, provides a 1.05M-token context window and up to 128K output, and supports reasoning effort from low to maximum. OpenAI positions it as "near-Astra intelligence for a fifth of the price": it matches GPT-6 Astra on DeepSWE v1.1 at roughly a fifth of the cost, comes within 2.1 points of Astra on OSWorld 2.0 computer use, and scores 2.2 points above Claude Opus 5.5 on AutomationBench. Available in ChatGPT Work, Codex and the API (as gpt-6.1-sol), but not yet in the main ChatGPT chat. The benchmark figures above are OpenAI's own; Artificial Analysis measurements are shown separately.

Anthropic's September 28, 2026 model and the second in the Claude 5.5 family after Opus 5.5, built for coding and agent workflows at Sonnet pricing: $2 input and $10 output per million tokens, unchanged from Sonnet 5, with cache reads at $0.10 (cut from $0.20 in October 2026) and cache writes at $2.50. It accepts text and image input, provides a 1M-token context window and up to 128K output, and keeps thinking on with adjustable effort (medium default in Claude apps, high on the Platform). Anthropic reports roughly 30% faster and about 30% cheaper per task than Sonnet 5, Terminal-Bench 4.0 of 70.6% (up from Sonnet 5's 10.3%) and near-Opus-5.5 results on GDPval-AA, and it is the first Sonnet released under Opus-class cyber safeguards. The benchmark figures above are Anthropic's own; Artificial Analysis measurements are shown separately.

Google's September 2, 2026 Flash model for coding and agent workflows, described by Google as its best reasoning and coding model yet at the same speed and cost as 3.7 Flash. It accepts text, images, audio, video and PDFs, with a 1,048,576-token input limit and a 65,536-token text-output limit, and thinking levels of low, medium and high. Standard Gemini API rates are $0.75/$3.75 per MTok (input/output) through December 31, 2026, then $1.50/$7.50 from January 1, 2027, with cached input at $0.075. Google reports DeepSWE v1.1 73.7% and roughly 40% more work completed per task than 3.7 Flash.

Zhipu's August 14, 2026 coding and agentic model, built on the GLM-5.2 base with further post-training. Z.ai reports Terminal-Bench 3.0 of 28.3 and DeepSWE v1.1 of 66.9. Published weights use the custom GLM-5.3 license; hosted access is available through Z.ai and the GLM Coding Plan. Text-only input, a documented 1M-token context window and up to 128K output, with reasoning always enabled. Useful for coding teams that need long-running agents or self-hosted deployment under the model license.

Google's July 21, 2026 low-latency model for subagent tasks and high-volume document processing. Accepts text, images, video, audio and PDFs, with 1M input tokens and up to 65K text output. Standard API rates are $0.30 input and $2.50 output per million tokens; batch rates are $0.15/$1.25. Standard cached input costs $0.03 per million tokens, with cache storage billed separately.

OpenAI's July 9, 2026 GPT-5.6 model balancing intelligence and cost. Supports text and image input, text output and adjustable reasoning effort, with a 1.05M-token context window and up to 128K output. API prices fell 20% on July 30 to $2 input and $12 output per million tokens; cached input is $0.20. Above 272K input tokens, the full request costs 2x input and 1.5x output rates. Cache writes cost 1.25x the uncached input rate.

Alibaba's June 2026 Qwen3.7-Plus is a hosted model accepting text, images and video with a 1M-token context. Its preserve_thinking option retains reasoning across tool calls. Current provider rates depend on input length and promotional discounts, so a single price ratio against Max does not describe all requests.

Mistral's April 28, 2026 model (v26.04), combining instruction-following, reasoning, and coding in 128B dense parameters. It supports vision, function calling, configurable reasoning, and a 256K-token context. Published weights use a Modified MIT license. Mistral lists standard provider API pricing of $1.50/$7.50 per MTok for input/output. Its May 22 product announcement made the model the default in Vibe CLI and Le Chat.

DeepSeek V4.1 Flash was released September 10, 2026 under an MIT license and is served through the deepseek-flash alias; the legacy deepseek-v4-flash slug temporarily routes to it. Its 552B-parameter backbone uses 8B active parameters for prefill and 16B for decode, with vision input and a 1M-token context. The 1017 checkpoint shipped October 17, 2026. Hosted access has peak-hour cache-miss pricing of $0.30 input and $1.20 output per million tokens, halved off-peak, with cache hits at $0.006.

Google DeepMind's open-weight Gemma 4 family, announced April 2, 2026 under Apache 2.0. The family now includes E2B, E4B, 12B, 26B A4B and 31B; 12B Unified was added June 3. E2B/E4B support 128K context, while 12B/26B A4B/31B support 256K. All accept text and images and produce text; audio input is supported by E2B, E4B and 12B. The family supports configurable thinking and function calling for local and server deployments.

MiniMax introduced M3 on June 1, 2026 with MiniMax Sparse Attention, native text, image and video input, and a 1M-token context. Published weights use the MiniMax community license. The standard provider API costs $0.30/$1.20 per MTok (input/output) for requests with at most 512K input tokens; both rates double above that threshold. Optional priority service costs 1.5 times the corresponding standard rate. MiniMax labels these standard rates a permanent 50% discount.

Mistral's March 16, 2026 unified model: merges Magistral (reasoning), Pixtral (vision), and Devstral (agentic coding) into a single 119B-total MoE with 6.5B active per token. 256K context, Apache 2.0, configurable reasoning effort.