Tracker
AI model releases 2026
Every AI model launch, preview and reported plan from our reporting, newest first, with prices and the sourced story behind each entry. Updated with every edition.
Prices and claims are what each story reports; a company’s own benchmark stays a company claim. The claim check compares each maker’s main claim with an independent test that our story cites. Released models so far: 6 backed, 9 mixed, 12 not checked yet.
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Showing 14 entries of 38. Show all
October 2026
A “code execution model” that rewrites a program’s machine code while it runs, for CPUs and GPUs. doubleAI says pipelines ran more than 38 times faster; no outside test yet.
Price Early access on request; no public price
doubleAI says its Maxwell model makes code run fasterAn agent model with up to 1 million tokens of context, for text and images. MiniMax says it is nearly three times faster and 70% cheaper to use than before. Weights are due later.
Claim check: MixedArtificial Analysis scores it 42, fourth of 173 models, but measured 120.1 tokens per second, not 200+, and a 93% hallucination rate.
Price $0.15 / $0.60 per million input / output tokens
MiniMax launches M3.1 Flash at half the price of M3A 27-billion-parameter model on Google’s Gemma 3, made with AI Singapore, for Indonesian, English, Javanese, Sundanese, Balinese and Batak Toba. GoTo says it scored highest on regional languages in its own tests, with no scores published.
Claim check: Not checked yet
Price Free weights under the Gemma licence
GoTo releases a free AI model for Indonesian and JavaneseA “minor update” to V4.1 Flash with open weights under the MIT licence and up to 1 million tokens of context. DeepSeek says it scores higher on coding and agent tests, works faster and writes shorter answers.
Claim check: Not checked yet
Price $0.30 / $1.20 per million input / output tokens (peak, unchanged)
DeepSeek releases an open update of its V4.1 Flash model Try it yourself: who can use it, the price, an example promptA model with 1 trillion parameters, 49 billion used per token, reading text and images. Public preview through Mistral’s API; Mistral says the weights follow by the end of October.
Claim check: MixedArtificial Analysis scores the preview 38 on its Intelligence Index, 64th of 225 models: above the middle score of 26, but far from the leaders. Mistral’s cyber ranking is its own claim.
Price $1.36 / $4.18 per million input / output tokens (preview)
Mistral previews Large 4, a 1-trillion-parameter modelA text model with 501 billion parameters, 23 billion used per token, and up to 1 million tokens of context. Reflection says it matches GLM-5.2 on hard reasoning with 3–4× less computing; no outside test yet.
Price Free weights (Apache 2.0) due later in October; early-access list for now
Reflection unveils Beam, an open model to rival China’s labsTwo decision models for AI agents (27B and 9B) that also read images, offered as an open rival to Jev. Cloudflare says a Clef model tops 7 of 10 decision tests; no outside test yet.
Claim check: Not checked yet
Price $0.24 / $0.09 per million input tokens on Workers AI; free weights (Apache 2.0)
Cloudflare releases open Clef models to take on JevA small decision model that picks one option from a fixed list for AI agents, as an open alternative to Jev. AWS says it takes about 115 ms on one graphics card; no outside test yet.
Claim check: Not checked yet
Price Free (Apache 2.0)
Amazon releases a free, open rival to the Jev decision model
September 2026
A 7-billion-parameter model that turns camera images and text into robot movements. Black Forest Labs says it tops the RoboLab-120 benchmark. Weights free for non-commercial use.
Claim check: BackedIt ranks first on NVIDIA Research’s public RoboLab-120 leaderboard, at 42.9%. We could not confirm whether NVIDIA re-ran the result itself.
Image AI maker Black Forest Labs released a robot modelA reasoning model for CRM work, based on Nvidia Nemotron and trained on synthetic business tasks. Its strongest results come from Salesforce’s own tests.
Claim check: Not checked yet
Salesforce built a reasoning model for CRM workA small model that publishes checkpoints, data, code and hashes for every training step, so its training can be replayed. About five times slower to run.
Claim check: Not checked yet
Gensyn made a small model whose training can be replayedA model that returns choices and probabilities instead of text, from former OpenAI researchers, with $40 million in seed funding.
Claim check: Not checked yet
Price $0.042 per million input tokens; output is free
Former OpenAI researchers launched Jev, a model that decidesThe English beta started on September 14: Siri can use messages, email, photos, screen content and app actions, with device, region and daily cloud limits.
Siri AI is finally on real devicesA 2.5-billion-parameter long-context model for local and on-device use; much of its training data is shared. OpenBMB says it leads open models of its size.
Claim check: BackedArtificial Analysis gives it 15 points, the highest among open-weight models under four billion parameters.
MiniCPM5-2B packs long-context AI into a much smaller model
How this tracker works
An entry appears when one of our stories covers a model launch, a preview, a reported plan, or a model becoming available on a new platform. A claim is Backed when an outside test supports it, Mixed when it holds only in part or only in some settings, and Disputed when an outside test contradicts it. The date is the one the story gives; when a story gives none, it is the story’s own date. We add entries with each edition and correct them under the story when a fact changes.
Reusing this list: you may quote it with a link to this page. Facts belong to the sources each story cites.