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Home / AI Radar / Models
AI Radar · Segment

Models

New frontier and open-weight models, benchmarks, prices and the race between US, European and Chinese labs.

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Analyst brief↗Accelerating

Anthropic leads the benchmark; open weights trail by 12 points but cost a fraction

The frontier is a three-lab race — Anthropic (58 on the Intelligence Index), OpenAI and Google (53) — while Chinese open-weight models cluster at 44–46. Europe's answer, Mistral Large 4, is open but still behind on benchmarks. For most business tasks the decision is no longer 'which is smartest' but 'which is good enough at the lowest cost per task'.

Updated Oct 11, 2026 · Seed edition, AI-assisted from public sources

This week

01

Mistral goes big and open

A ~1-trillion-parameter open-weight model from Europe gives regulated buyers a self-hostable option — benchmarks still put it at 38, so test it on your own tasks first.

02

The price floor drops to $0.10

Claude Haiku 5.5 at $0.10 per million input tokens makes classification, routing and tagging at scale almost free — re-price any automation that was 'too expensive' last year.

This month

01

Opus 5.5 takes the top spot at lower cost

It matches Fable 5.1 on most tasks at 40% lower cost than Opus 5 and leads the Intelligence Index at 58 — frontier quality is getting cheaper every quarter.

02

China's open models go global

Qwen alone has 151,448 derivatives on Hugging Face; open weights from China are becoming the default in emerging markets. Check licences and export-control exposure before you build on them.

What to watch next
  • Whether OpenAI or Google answer Opus 5.5 before year-end
  • Independent benchmarks of Mistral Large 4 once weights are fully released
  • US moves on open-weight models after Kimi K3
What to do

Run a two-model setup: a cheap fast model (Haiku-class, ~$0.10/M tokens) for volume and a frontier model only where the task needs it. Re-benchmark every quarter — rankings move faster than contracts.

Always on

The numbers that define the segment

Trackers stay on screen until a newer, verified value replaces them.

Always on

The model market in four numbers

12 ptsgap between the best proprietary (58) and the best open-weights model (46)
205models evaluated, 82 of them open weights
$0.10per million input tokens: Claude Haiku 5.5, the new price floor for a frontier lab
46×cost difference per task between MiMo-V2.6-Pro ($0.13) and Opus 5.5 max ($5.98)

Source: Artificial Analysis — Intelligence Index v4.3.2 · LLM Stats · as of Oct 11, 2026

Always on

Who leads: best model per lab

Artificial Analysis Intelligence Index (10 evaluations). Best configuration per lab.

Claude Opus 5.5 · Anthropic58
GPT-6 Astra · OpenAI53
Gemini 4 Argon · Google53
Muse Spark 1.3 · Meta48
Grok 4.7 · SpaceXAI46
MiMo-V2.6-Pro · Xiaomi46
GLM-5.3 · Z AI45
Qwen3.8 Max · Alibaba45
Kimi K3 · Moonshot44
DeepSeek V4.1 Flash · DeepSeek39
Mistral Large 4 Preview · Mistral38
ProprietaryOpen weights

Source: Artificial Analysis — Intelligence Index v4.3.2 · as of Oct 11, 2026

Always on

Speed: output tokens per second

Median output speed of each model's API.

Mercury 2.5 · Inception699
DeepSeek V4.1 Flash217
Muse Spark 1.3175
Claude Sonnet 5.5 (max)141
Claude Opus 5.5 (max)96
GLM-5.383
GPT-6.1 Sol (max)56
Kimi K341

Source: Artificial Analysis — Intelligence Index v4.3.2 · as of Oct 11, 2026

Always on

Intelligence vs. cost: where the value is

X: cost to run the full index per task (USD, log scale). Y: Intelligence Index. Top-left = best value.

$0.1$0.3$1$3$10354045505560Opus 5.5 (max): 58 · $5.98Opus 5.5 (high): 54 · $1.82Opus 5.5 (medium): 51 · $1.34Sonnet 5.5 (max): 56 · $5.46Sonnet 5.5 (high): 47 · $0.88GPT-6 Astra (max): 53 · $3.26GPT-6.1 Sol (high): 50 · $0.32GPT-6.1 Sol (medium): 48 · $0.21Gemini 4 Argon: 53 · $1.99Muse Spark 1.3: 48 · $1.6MiMo-V2.6-Pro: 46 · $0.13GLM-5.3: 45 · $2.01Kimi K3: 44 · $2.0DeepSeek V4.1 Flash: 39 · $0.27Mistral Large 4: 38 · $1.13Qwen3.8 Max: 45 · $5.41Opus 5.5 (max)Opus 5.5 (high)Opus 5.5 (medium)Sonnet 5.5 (max)GPT-6.1 Sol (high)GPT-6.1 Sol (medium)MiMo-V2.6-ProGLM-5.3Kimi K3DeepSeek V4.1 FlashMistral Large 4Cost per task (USD)Intelligence Index
ProprietaryOpen weightsValue frontier

Source: Artificial Analysis — Intelligence Index v4.3.2 · as of Oct 11, 2026

Key context

Still shaping the segment

Signals scored 9+ or structural shifts stay here for 90 days.

ModelsKey context9/10

OpenAI rolls out GPT-6 'Astra' with built-in cyber guardrails

Released first to vetted business users, then to paid ChatGPT plans and the API. OpenAI positions it as able to operate a whole computer autonomously, with limits on its most advanced cyber capabilities.

Sep 3, 2026 · USBloomberg Government ↗
ModelsKey context8/10

DeepSeek V4 lands as open weights and runs on Huawei Ascend chips

Two versions (Pro and Flash) with 1M context. China's open models keep closing the gap while reducing dependence on Nvidia — a structural shift in the model race.

Apr 24, 2026 · CNThe Register ↗
Signals

Ranked by relevance

Badges show how long each signal stays: this week, this month, key context or archive.

ModelsThis week8/10

Mistral opens public preview of Large 4, a ~1-trillion-parameter open-weight model

Europe's flagship lab promises downloadable weights by the end of October, a 1M-token context and aggressive API pricing. A credible EU-trained alternative matters for data-sovereignty buyers.

Oct 6, 2026 · FRThe Next Web ↗
ModelsThis week7/10

Anthropic ships Claude Haiku 5.5: 1M context and effort controls from $0.10 per million tokens

The small, fast model closes the 5.5 family. Pricing this low makes high-volume classification and routing almost free — the economics behind news triage, ticket routing and document tagging just changed.

Oct 7, 2026 · USLLM Stats ↗
ModelsThis month8/10

Claude Opus 5.5 matches Fable 5.1 on most tasks at 40% lower cost than Opus 5

Frontier capability keeps getting cheaper: input drops to $4 and output to $20 per million tokens. Projects that were too expensive in spring are worth re-quoting.

ModelsThis month7/10

Chinese open-weight models are winning the Global South; Qwen counts 151,448 derivatives on Hugging Face

Foreign Policy argues that free, adaptable Chinese models are becoming the default in emerging markets. For companies, open weights mean cheaper customisation — with licence and export-control checks.

Sep 21, 2026 · CNForeign Policy ↗
ModelsKey context9/10

OpenAI rolls out GPT-6 'Astra' with built-in cyber guardrails

Released first to vetted business users, then to paid ChatGPT plans and the API. OpenAI positions it as able to operate a whole computer autonomously, with limits on its most advanced cyber capabilities.

Sep 3, 2026 · USBloomberg Government ↗
ModelsArchive8/10

DeepSeek V4 lands as open weights and runs on Huawei Ascend chips

Two versions (Pro and Flash) with 1M context. China's open models keep closing the gap while reducing dependence on Nvidia — a structural shift in the model race.

Apr 24, 2026 · CNThe Register ↗
What we track
Frontier releasesOpen-weight modelsChinese labsBenchmarks & evalsPricing per tokenSafety & alignment research

Key players

AnthropicOpenAIGoogle DeepMindMetaMistralDeepSeekAlibaba QwenZhipuMoonshotxAI
Why it matters for your business

Each release changes what is possible and what it costs. We translate launches into one question: does this change what your business should build or buy?

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