The AI model release tracker

Next AI Model follows every release from OpenAI, Google, Anthropic, xAI, Meta, Mistral, Alibaba, DeepSeek and Microsoft: what each new model changed, in the maker's own numbers, and which lines are due next by their own release rhythm.

Checked for new releases Oct 8, 2026

Coming next

Every AI model line we track: first the ones with a model officially announced by the maker, then the ones reaching their usual gap between releases, then mid-cycle, then those already past it, then the ones just released. Each card shows how long it has been since the last release against that line's usual gap and its recent ones. Closed models and open-weight models are listed separately.

Gemini 3.1 Pro

Google · Gemini Pro line · flagship
Past its usual gap231 days since the last release — usual gap is 125
Limited accessGemini 4 Argon

“Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program.” — Google, Sep 30, 2026 · Google

Google's updated flagship: its score on brand-new reasoning puzzles more than doubled over Gemini 3 Pro — at the same price.

Released Feb 19, 2026 · what changed →
Days since last release
Gemini 3.1 Pro · Feb 19, 2026
231
days
Usual gap
125
days
Recent gaps
Gemini 3.1 Pro · Feb 2026
93
Gemini 3 Pro · Nov 2025
238
Gemini 2.5 Pro · Mar 2025
48
Gemini 2.0 Pro · Feb 2025
302
xAI

Grok 4.7

xAI · Grok line · flagship
Just releasedreleased 17 days ago — usual gap is ~59
AnnouncedGrok 4.8

“Grok 4.8, which is a 2.5T model trained with our new C++ software stack, will finish training this week and start RL” — xAI, Sep 14, 2026 · Elon Musk on X

A larger base model than Grok 4.6, trained longer on multi-hour agentic tasks, at the same $2 / $6 price and the same 500k-token context.

Released Sep 21, 2026 · what changed →
Days since last release
Grok 4.7 · Sep 21, 2026
17
days
Usual gap
59
days
Recent gaps
Grok 4.7 · Sep 2026
40
Grok 4.6 · Aug 2026
35
Grok 4.5 · Jul 2026
82
Grok 4.3 · Apr 2026
59

Claude Fable 5.1

Anthropic · Claude Fable line · flagship
Mid-cycle37 of ~84 days into its usual cycle

Anthropic's top model, refreshed: big jumps on long coding and scientific-research tasks, and cached input now costs 75% less — same headline price as Fable 5.

Released Sep 1, 2026 · what changed →
Days since last release
Claude Fable 5.1 · Sep 1, 2026
37
days
Usual gap
84
days
Recent gaps
Claude Fable 5.1 · Sep 2026
84
Qw

Qwen3.8-Max-0902

Alibaba · Qwen Max line · flagship
Mid-cycle36 of ~59 days into its usual cycle

An upgraded snapshot of Qwen 3.8-Max, further trained for coding and office-style agent work, with the same 2.4 trillion parameters, 1M-token context window and $2 / $6 price.

Released Sep 2, 2026 · what changed →
Days since last release
Qwen3.8-Max-0902 · Sep 2, 2026
36
days
Usual gap
59
days
Recent gaps
Qwen3.8-Max-0902 · Sep 2026
45
Qwen 3.8-Max · Jul 2026
60
Qwen 3.7-Max · May 2026
32
Qwen3.6-Max-Preview · Apr 2026
166

24 lines closed by the maker or without a release in over a year live in the Archive.

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Fresh off the press

Just dropped

What shipped recently and what actually changed — compared with the model it replaces (or the rival its maker chose), numbers included.

Oct
7

Costs a tenth of Claude Haiku 4.5 for prompts under 100K tokens while raising its computer-use score from 15.7% to 72.4%, with a 1M-token context window.

Compared with Claude Haiku 4.5 · the model it replaces

Finishes 7 in 10 tasks when operating a computer on its own

OSWorld 2.1 — completing office tasks on a real computer desktop (offline subset)

72.4%

▲ up from 15.7% · +56.7 points

Scores far higher on the all-round intelligence index

Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests

43

▲ up from 17 for Claude Haiku 4.5 (reasoning) · +26 points · Haiku 5.5 measured at max effort

Costs developers a tenth of what Claude Haiku 4.5 cost

Price per 1M tokens — what developers pay, input / output

$0.10 / $0.50

▲ down from $1 / $5 · prompts under 100K tokens; $0.50 / $2.50 above that

Oct
6

An update to Nano Banana 2 built on Gemini 3.6 Flash that scores 60 Elo higher in Google's blind text-to-image tests at about half the price per image.

Compared with Nano Banana 2 (Gemini 3.1 Flash Image) · the model it replaces

Preferred more often than Nano Banana 2 in blind image comparisons

Google text-to-image Elo — people pick the better image blind

1050

▲ up from 990 for Nano Banana 2 · +60 Elo, margin about 14 · Google's own test, thinking mode

Costs about half as much per image as Nano Banana 2

Gemini API price per generated image — 1K resolution

$0.0336 / image

▲ down from $0.067 for Nano Banana 2 · 2K image $0.0504

Oct
6

Mistral's first large reasoning model, natively multimodal with 1 trillion parameters (49 billion active), lifts the Intelligence Index from 9 to 38 but costs almost three times as much as Mistral Large 3.

Compared with Mistral Large 3 · the model it replaces

Solves about 6 in 10 hard real-world software engineering tasks

DeepSWE 1.1 — fixing real bugs in large code projects

61.7%

✦ first score published — no Mistral Large 3 result to compare

Scores four times higher on the all-round intelligence index

Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests

38

▲ up from 9 for Mistral Large 3 · +29 points · preview with reasoning, Mistral Large 3 has no reasoning mode

Costs developers almost three times as much to run

API price per 1M tokens — input / output

$1.36 / $4.18

preview launch price — was $0.50 / $1.50 for Mistral Large 3

Sep
29

One week after GPT-6 Sol, it scores 7 points higher on computer-use tasks and 4 points higher on the all-round intelligence index at the same $2 / $10 price.

Compared with GPT-6 Sol · the model it replaces

Completes 7 in 10 tasks when operating a computer on its own

OSWorld 2.0 — using real desktop apps to finish tasks

71.4%

▲ up from 64.4% · +7 points · both at max effort

Scores 4 points higher on the all-round intelligence index

Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests

52

▲ up from 48 · +4 points · both at max effort

Costs the same as the model it replaces

Price per 1M tokens — what developers pay, input / output

$2 / $10

same as GPT-6 Sol · cached input halved to $0.10

Sep
28

Scores 18 points higher than Sonnet 5 on the all-round intelligence index and runs over 30% faster, at the same $2 / $10 price per 1M tokens.

Compared with Claude Sonnet 5 · the model it replaces

Makes the right code edits more than half the time inside an editor

CursorBench 4.0 — editing code the way developers do in an IDE

55.5%

▲ up from 34.1% · +21.4 points

Scores 18 points higher on the all-round intelligence index

Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests

56

▲ max effort (Artificial Analysis: max with fallback) · up from 38 · +18 points

Costs the same as the model it replaces

Price per 1M tokens — what developers pay, input / output

$2 / $10

same as Claude Sonnet 5

Sep
22

Half the price of GPT-5.6 Sol with about half as many factual mistakes, while its all-round score rises only one point.

Compared with GPT-5.6 Sol · the model it replaces

Makes about half as many factual mistakes

OpenAI factuality test — errors in real-world conversations

about half

▲ vs GPT-5.6 Sol · OpenAI internal test

Scores 1 point higher on the all-round intelligence index

Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests

48

▲ up from 47 · +1 point

Costs half as much as the model it replaces

Price per 1M tokens — what developers pay, input / output

$2 / $10

▲ down from $4 / $20 · 50% cheaper

Questions people ask

What is the next OpenAI model?

OpenAI's most recent flagship release is GPT-6.1 Sol (GPT line, September 29, 2026); its other flagship line's latest model is GPT-6 Astra (GPT Astra line, September 4, 2026). It shipped 9 days ago, and the line's usual gap is about 75 days. We only report official announcements, never rumored release dates.

When is the next Claude model coming out?

Anthropic's most recent flagship release is Claude Opus 5.5 (Claude Opus line, September 22, 2026); its other flagship line's latest model is Claude Fable 5.1 (Claude Fable line, September 1, 2026). It shipped 16 days ago, and the line's usual gap is about 60 days. We only report official announcements, never rumored release dates.

When is the next Gemini model coming out?

Google's newest flagship model is Gemini 3.1 Pro, released on February 19, 2026. It has been 231 days since then, longer than the line's usual gap of 125 days. Gemini 4 Argon is open only to selected partners so far; Google said on Sep 30, 2026: “Today, we’re announcing our new frontier model, Gemini 4 Argon, which is rolling out to a set of trusted cyber defenders through our Fairwind Program”. We only report official announcements, never rumored release dates.

What is the newest AI model?

The most recent releases we track are Claude Haiku 5.5 by Anthropic (Oct 7, 2026), Mistral Large 4 by Mistral (Oct 6, 2026) and GPT-6.1 Sol by OpenAI (Sep 29, 2026). The archive lists every release, newest first.

How does Next AI Model decide that a model line is due?

Each line's usual gap is the median of its last five gaps between releases, counting launches less than a week apart as one. A line is Due from 85% to 100% of that gap, Past its usual gap after that, Mid-cycle in between, and Just released during the first third. It is a reading of the line's own rhythm, not insider information.

Why doesn't Next AI Model give exact release dates?

We tested a simple forecast, the usual gap plus or minus 15 days, against every release in our archive: it would have been right fewer than 1 time in 5. Release rhythms are too irregular for a date to be honest, so we show where each line stands instead.

Methodology

How the status works. Each line's usual gap is the median of its last five gaps (releases less than a week apart count as one launch). The label says where the line stands in its own rhythm: Due from 85% to 100% of the usual gap, Past its usual gap after that, Mid-cycle in between, Just released for the first third. Lines are listed in that order, bigger makers first.

Why no dates. We tested "usual gap ± 15 days" against every release in our archive: it would have caught fewer than 1 in 5 of them. AI release rhythms are too irregular for a date to be honest — so we show the rhythm, not a prediction. In our archive, a new model came within a month about 1 time in 3 when a line was reaching its usual gap, and less often once it was past it: that is why we never count "days late".

A line whose wait, measured in its own usual gaps, is longer than almost every past gap in our archive (fewer than 5 lasted that long) is marked Quiet; after a year of silence it becomes Inactive and moves to the Archive. "Discontinued" is only for lines the maker has officially closed.

These are statistical estimates, not insider information. Actual release dates depend on development progress, strategic decisions, and competitive dynamics.

Disclaimer: Next AI Model is an independent project and is not affiliated with, endorsed by, or connected to any AI company mentioned on this site. Status labels are statistical readings of publicly available release dates. This content does not constitute financial or investment advice. All trademarks and product names belong to their respective owners.