DeepSeek V4 Flash 0731 scores 50 on the Artificial Analysis Intelligence Index, up from 40 in April, with identical architecture, the same 13B active parameters and the same price list — the gain came entirely from post-training. It now sits one point behind GPT-5.6 Luna at roughly 60% lower cost per task, with a 98% cache discount. The nuance most coverage will skip: accuracy was unchanged, and the jump came mainly from a reduced hallucination rate.

Artificial Analysis

ModelsJul 30, 2026

OpenAI Says Two Settings Tripled Its ARC-AGI-3 Score — ARC Prize Says That Isn't the Same Test

ModelsJul 14, 2026

Anthropic Extends Free Fable 5 Again — the Deadline That Keeps Moving

Anthropic pushed free Fable 5 access to July 19 — its third extension in 18 days — as GPT-5.6 undercuts it on price and Grok 4.5 goes live. An Opus 5 leak in Cursor fuels the theory that the extensions are a bridge to the next flagship.

Anthropic

ModelsJul 10, 2026

GPT-5.6 Launches After a Government Delay — and Sol Tops the Coding Charts

OpenAI shipped GPT-5.6 on July 9 as a three-tier family — Sol, Terra, Luna — after a US-government delay. Sol tops TerminalBench 2.1 at 91.9% and is ~54% more token-efficient on agentic coding, though Anthropic's Fable 5 still leads SWE-Bench Pro.

OpenAI

ModelsJun 29, 2026

← Prev 1 2 3 4 5 6 Next →

73–96 of 144 articles

ModelsJul 30, 2026

OpenAI Cut Luna's Price 80% and Left Sol Untouched — the GPT-5.6 Range Is Now 25× Wide

GPT-5.6 Luna drops to $0.20 / $1.20 per million tokens from $1 / $6, and Terra to $2 / $12 from $2.50 / $15. Sol is unchanged, and its new Fast option costs twice as much for about 2.5× the speed. OpenAI credits serving efficiency — but a roughly 20% cost improvement explains Terra's cut and comes nowhere near explaining Luna's, which leaves the gap between the cheapest and best model five times wider than it was a month ago.

OpenAI

OpenAI reported that enabling retained reasoning and compaction in its Responses API took GPT-5.6 Sol from a 13.3% baseline to 38.3% on ARC-AGI-3's public set, using roughly six times fewer output tokens — a figure above Claude Opus 5's 30.2% record. ARC Prize says its official scores use a standardised setup with no provider-specific settings, and François Chollet allows general-purpose API settings only if clearly reported. Both sides have a point, and the comparison still isn't apples to apples.

OpenAI

ModelsJul 27, 2026

The Largest Open Model Ever Just Went Free: Kimi K3's 2.8-Trillion-Parameter Weights Are Live

Moonshot AI published Kimi K3's full weights on Hugging Face at 00:00 UTC on July 27, exactly as promised — 2.8 trillion parameters under Apache 2.0, the biggest open-weight release in history. It lands three days after 50 companies signed a letter defending open models, and days after the White House accused Moonshot of distilling an Anthropic model to build it.

Moonshot AI

ModelsJul 25, 2026

Claude Opus 5 vs GPT-5.6: One Dial vs Three Models

OpenAI split GPT-5.6 into Sol, Terra and Luna. Anthropic shipped one model with an effort dial. Put both on the same cost-independent index and the settings line up exactly — including one result that should change how you configure your API calls.

BitsMinds Analysis

ModelsJul 25, 2026

Claude Opus 5 vs Fable 5 vs Sonnet 5 vs Opus 4.8: The Benchmark Comparison

Opus 5 costs the same as the Opus 4.8 it replaces, beats the double-priced Fable 5 on Anthropic's own coding charts, and burns a fraction of the tokens doing it. We lined up every published number — specs, prices, benchmarks — and flagged exactly where the comparisons don't hold.

BitsMinds Analysis

ModelsJul 24, 2026

Claude Opus 5 Is Officially Here — 1M Context, a New 'xhigh' Mode, and the Rumors Were Right

Anthropic launched Claude Opus 5 on July 24, replacing Opus 4.8 as its workhorse model: a 1-million-token context window, a new 'xhigh' reasoning-effort level above today's max, and unchanged $5/$25-per-million-token pricing. The 'Honeycomb' leak, the Vertex AI sightings, and the specs rumor all turned out accurate — Fable 5 remains Anthropic's top-tier model.

Anthropic

ModelsJul 22, 2026

Google Ships Three New Gemini Flash Models — but 3.5 Pro Is Still Missing, and It's Already Pretraining Gemini 4

On July 21 Google released Gemini 3.6 Flash, 3.5 Flash-Lite, and a security-tuned 3.5 Flash Cyber — useful, cheap, efficient. But the flagship Gemini 3.5 Pro is still nowhere to be seen, months past its June target, and Google says it has already begun its most ambitious pretraining run yet: Gemini 4.

Google

ModelsJul 21, 2026

Claude Opus 5 Rumor Watch: The 'Honeycomb' Leak, a Reported 1M Context, and Talk of a Launch This Week

The internet is convinced Claude Opus 5 ships any day now — a model codenamed 'Honeycomb' surfaced briefly in Cursor and a Google Vertex AI listing, with leaked talk of a 1M-token context and an 'xhigh' reasoning mode. Here's the honest version: what's actually been spotted, what's pure speculation, and why the timing rumor won't die.

Leak Reports

ModelsJul 19, 2026

Moonshot's Kimi K3 Is the Largest Open-Weight Model Ever — and It Just Beat Fable 5 at Frontend Code

China's Moonshot AI released Kimi K3, a 2.8-trillion-parameter open-weight mixture-of-experts model — the biggest ever — that took the #1 spot on Arena.ai's Frontend Code leaderboard at 1,679 points, ahead of Claude Fable 5. It has a 1M-token context, activates just 16 of 896 experts per token, and full weights are promised on Hugging Face by July 27.

Moonshot AI

ModelsJul 18, 2026

SpaceXAI's Grok 4.5 Bets on Efficiency Over the Crown — Opus-Class Coding at 4.2× Fewer Tokens

Grok 4.5, trained alongside Cursor, doesn't top the leaderboards — Fable 5 and GPT-5.5 still edge it on raw coding benchmarks. But it resolves SWE-Bench Pro tasks in about 15,954 output tokens versus ~67,020 for Opus 4.8, is served at 80 tokens/sec, and costs just $2/$6 per million tokens. xAI's pitch: Opus-class results at a fraction of the time and cost.

xAI

ModelsJul 18, 2026

PrismML's Bonsai 27B Squeezes a 27-Billion-Parameter Model Onto Your Phone — at 3.9GB, Fully Offline

PrismML has open-sourced Bonsai 27B, a 1-bit build of Qwen3.6-27B that shrinks a model needing ~54GB at full precision down to 3.9GB — small enough to run on an iPhone at 11 tokens/sec while keeping more than 90% of full-precision performance. It's multimodal, handles a 262K-token context, and ships under Apache 2.0.

PrismML

ModelsJul 17, 2026

Mira Murati's Thinking Machines Releases Inkling — a 975B Open-Weight, Multimodal Model Built to Be Customized

Thinking Machines Lab's first broadly available model is open. Inkling is a 975B-parameter mixture-of-experts model (41B active), trained on 45T tokens of text, image, audio, and video, with a 1M-token context — released under Apache 2.0 and tuned on the lab's Tinker platform.

Thinking Machines Lab

ModelsJul 15, 2026

ByteDance's Seedream 5.0 Pro Pushes China to the Front of AI Image Generation

ByteDance's new flagship image model reasons about prompts, edits with point-and-lasso precision, writes on-image text in 14 languages, and outputs native 2K — at $0.075 an image. Observers already put its quality at GPT Image 2 level.

TestingCatalog

ModelsJul 3, 2026

LongCat-2.0: A 1.6T Coding Model Trained on Chinese Chips

Meituan open-sourced LongCat-2.0 on June 30 — a 1.6-trillion-parameter mixture-of-experts coding model trained and served end to end on more than 50,000 Chinese-made chips, with no Nvidia hardware in the loop. After two months quietly topping OpenRouter under the alias “Owl Alpha,” the MIT-licensed model claims 59.5% on SWE-bench Pro at a fraction of GPT-5.5’s price.

VentureBeat

ModelsJul 1, 2026

Gemini 3.5 Pro Slips to July as Google Misses Deadline

Google let its self-imposed June deadline for Gemini 3.5 Pro pass without a launch, and now says the frontier model will reach general availability in July. The company points to token-efficiency and long-horizon agentic tuning — even as a wave of senior DeepMind researchers heads for the exits.

TechTimes

ModelsJun 30, 2026

Claude Sonnet 5 Lands, Closing In on Opus 4.8

Anthropic released Claude Sonnet 5 on June 30 — its most agentic mid-tier model yet, scoring 63.2% on SWE-bench Pro and matching Opus 4.8 on some knowledge work, with introductory pricing of $2/$10 per million tokens. It is now the default model on Claude’s Free and Pro plans.

Anthropic

Ornith-1.0: Open Coding Models That Self-Scaffold

DeepReinforce has open-sourced Ornith-1.0, an MIT-licensed family of coding models (9B to 397B) that learn to write their own agent scaffolds during reinforcement training. The 397B flagship resolves 82.4% of SWE-Bench Verified issues — second only to Claude Opus 4.8 — while the 9B model runs on a single 80GB GPU, putting frontier-class agentic coding within reach of self-hosters.

MarkTechPost

ModelsJun 27, 2026

GPT-5.6 Is Here: OpenAI Ships Sol, Terra and Luna

OpenAI released GPT-5.6 on June 27 as a three-model family — the flagship Sol, the balanced Terra and the fast, cheap Luna — but only as a limited preview to about 20 U.S. government-approved partners. Sol leads agentic-coding benchmarks (91.9% on Terminal-Bench 2.1) and matches prior security results using roughly a third of the output tokens, with general availability promised in the coming weeks.

OpenAI

ModelsJun 26, 2026

ByteDance’s Seed 2.1 Pro Pulls Level With Claude Opus 4.6

ByteDance launched its Doubao Seed 2.1 Pro and cheaper Turbo models on June 24, built for the “coding and agent era.” Seed 2.1 Pro scored 1539 on the Code Arena: Frontend leaderboard — eighth in the world and level with Claude Opus 4.6 — while ByteDance claims three core capabilities are comparable to GPT-5.5.

AIbase

ModelsJun 24, 2026

Claude Sonnet 5 Rumors Resurface — Still Nothing Confirmed

Reports this week floated Claude Sonnet 5 (codename 'Fennec') for the week of June 23, alongside GPT-5.6 — but Anthropic has confirmed nothing. And the same 'Sonnet 5' leak in February shipped as Sonnet 4.6, a reminder to read codenames with caution.

Crypto Briefing

ModelsJun 22, 2026

Sakana AI's Fugu Turns Model Orchestration Into a Product

The Tokyo lab made Fugu generally available on June 22 — a foundation model trained to command a pool of other AIs through one OpenAI-compatible API, pitched as a hedge against single-vendor lock-in.

Sakana AI