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AI & Technology Update

Frontier models · Model comparison · Markets · Capital
Tuesday, 29 September 2026 · Hedge Research Desk
The Read
AI labs are navigating heightened safety scrutiny and regulatory pressure as major infrastructure investments and enterprise AI deployments accelerate across the industry.
Strategy · Execution · Growth
Claude Fable 597/100Claude Opus 4.893/100Kimi K2.7-Code93/100AnthropicSonnet 5.5OpenAIUpcoming modelGoogleGeminiCompute$1bnFunding$750mCompute$8.2bnClaude Fable 597/100Claude Opus 4.893/100Kimi K2.7-Code93/100AnthropicSonnet 5.5OpenAIUpcoming modelGoogleGeminiCompute$1bnFunding$750mCompute$8.2bn
Nvidia (NVDA)
$228.86
+0.65% today
Microsoft (MSFT)
$509.22
+1.52% today
Alphabet (GOOGL)
$342.75
-3.44% today
Meta (META)
$715.62
-3.46% today
Top coder
97/100
Claude Fable 5
Compute
$1bn
deal
01

Frontier Models

The week across the frontier labs — new defaults, previews and open-weight releases — plus where the coding benchmarks stand.

Anthropic

Sonnet 5.5 — (28 Sep) Anthropic has released Sonnet 5.5, a mid-range model update that the company says offers faster response times and lower token consumption. The release follows the CEO's recent call for the industry to slow the pace of frontier model development. · 28 Sep

Read → TechCrunch
OpenAI

Upcoming model — (28 Sep) OpenAI has abandoned plans to release an upcoming model after it displayed a poor aptitude for following instructions and raised safety concerns. The decision aligns with recent statements from top AI lab executives advocating for a slower pace in frontier model development. · 28 Sep

Read → TechCrunch
Google

Gemini — (28 Sep) Google is discontinuing Gemini’s Gems feature, which allowed users to build task-specific agents, in favor of a new ‘skills’ framework. The shift comes as all-in-one AI agents from competitors gain traction in the market. · 28 Sep

Read → TechCrunch
Meta

Enterprise AI Platform — (28 Sep) Meta launched a new enterprise AI platform encompassing its Muse agent, Meta Business Agent, and related APIs. The company also hired MongoDB CEO CJ Desai to lead the new initiative and report directly to Mark Zuckerberg. · 28 Sep

Read → TechCrunch
Coding LeaderboardCoding score — Hedge Model Comparison V3.3 (maintained dataset)
Claude Fable 5 Anthropic
97/100
Claude Opus 4.8 Anthropic
93/100
Kimi K2.7-Code Moonshot
93/100
GPT-5.6 Sol OpenAI
92/100
Kimi K2.6 Moonshot
90/100
GLM-5V-Turbo (vision) Zhipu
90/100
Claude Sonnet 5 Anthropic
89/100
GLM-5.2 Zhipu
88/100
02

Model Comparison

The full AI Models Comparison dashboard — every category, factor weights, best-for and sources. Benchmark-anchored; ✅ verified · ⚠️ partial · ❓ released, not yet independently benchmarked. Wide tables scroll sideways.

V3.3 · benchmark-anchored · trimmed to the latest model generation (6 Jul 2026). Sub-scores are analytical mappings from public benchmarks — not vendor claims.
LLMs
Top score
93
Claude Fable 5 — SWE-V 95%
New OpenAI flagship
89
GPT-5.6 Sol — AA Index 59, coding #1
Open-weights leader
GLM-5.2
#1 open on AA Index (51) · SWE-Pro 62.1
Cheapest viable
$0.14
DeepSeek V4-Flash /1M in · SWE-V 79%
V3.3 — trimmed to the current generation
Removed old-generation tiers (Claude Haiku 4.5, Gemini 3.1 Pro / 3.1 Flash-Lite) — each is still that maker’s current model in the tier, so dropped for a latest-generation board, not deprecated. Gemini’s LLM entry is now 3.5 Flash (Pro tier temporarily empty, delayed ~17 Jul). Current Anthropic line: Fable 5 · Opus 4.8 · Sonnet 5.
Show score ≥
#ModelScoreBusiness useWeb researchPresentationLow halluc.CodingTool useDocsCost (in/out $)Open?Conf.
1Claude Fable 593● 95● 90● 93● 96● 97● 95● 94$10 / $50No✅
2Claude Opus 4.890● 93● 82● 91● 92● 93● 92● 93$5 / $25No✅
3GPT-5.6 Sol89● 90● 90● 88● 82● 92● 92● 90$5 / $30No✅
4Claude Sonnet 586● 90● 80● 88● 89● 89● 90● 90$3 / $15*No✅
5Kimi K2.686● 88● 92● 88● 95● 90● 94● 88$0.95 / $4.00Yes✅
6GLM-5.283● 78● 78● 76● 80● 88● 86● 76$1.40 / $4.40Yes✅
7Qwen 3.7-Max83● 80● 74● 78● 78● 86● 88● 76$1.25 / $3.75*No✅
8GPT-5.6 Terra82● 84● 84● 80● 80● 86● 85● 84$2.50 / $15.00No✅
9Grok 4.582● 78● 82● 76● 78● 86● 84● 76$2 / $6No✅
10Kimi K2.7-Code82● 78● 80● 76● 90● 93● 90● 78$0.95 / $4.00Yes⚠️
11GLM-5V-Turbo (vision)81● 78● 76● 82● 76● 90● 86● 82$1.20 / $4.00No⚠️
12Gemini 3.5 Flash81● 76● 88● 78● 80● 85● 82● 76$1.50 / $9.00No✅
13DeepSeek V4-Pro81● 78● 75● 76● 82● 86● 80● 78$0.44 / $0.87Yes⚠️
14MiniMax M378● 75● 88● 76● 75● 82● 80● 78$0.30 / $1.20Yes⚠️
15DeepSeek V4-Flash75● 70● 68● 68● 74● 82● 74● 70$0.14 / $0.28Yes✅
16MiMo-V2.5-Pro73● 72● 70● 72● 74● 80● 76● 74$0.44 / $0.87No✅
17GPT-5.6 Luna72● 72● 74● 70● 76● 74● 74● 72$1 / $6No✅
18ERNIE 5.172● 74● 72● 72● 74● 74● 72● 74$0.59 / $2.65No✅
19Qwen 3.7-Plus72● 74● 72● 74● 76● 82● 76● 74$0.32 / $1.28No⚠️
Cost = list API price, input / output per 1M tokens. ● colour: green ≥85 · amber 72–84 · grey 60–71 · red <60. Open? = open-weights availability.
Voice AI
Best Egyptian S2S
gpt-realtime-1.5
Grok Voice Agent close 2nd, 3× cheaper
Cheapest real-time S2S
$0.008/min
Gemini 3.1 Flash Live
Egyptian TTS confirmed
ElevenLabs v3
Only vendor confirming EG dialect
Cheapest Arabic STT
$0.10/hr
Grok STT — diarization + timestamps
Egyptian Arabic gate
Voice models are judged first on Egyptian Arabic quality (the top two weighted factors). Only ElevenLabs v3 explicitly confirms Egyptian dialect; others list generic "Arabic" and are flagged ⚠️. GLM-4-Voice is Chinese/English only and fails the Egyptian gate.
S2S — full real-time conversation (5 models)
Show score ≥
#ModelScoreEgyptian qualityNaturalnessEmotionCloningReal-time$/min audioConf.
1gpt-realtime-1.590● 95● 92● 85● 70● 85~$0.18–0.46/min⚠️
2Grok Voice Agent88● 95● 90● 85● 88● 95$0.05/min · 2-min clone✅
3gpt-realtime-mini80● 92● 85● 85● 60● 90$0.063–0.146/min❓
4Gemini 3.1 Flash Live78● 82● 86● 78● 0● 92~$0.008/min⚠️
5GLM-4-Voice55● 30● 80● 75● 60● 90Open · CN/EN only⚠️
TTS — text-to-speech (6 models)
Show score ≥
#ModelScoreEgyptian qualityNaturalnessEmotionCloningLatency$/min audioConf.
1ElevenLabs v3 Multilingual88● 92● 95● 95● 95● 80$0.10–0.30/1K chars · Egyptian ✅✅
2Grok TTS86● 90● 88● 80● 85● 92$4.20/1M chars · 120s clone✅
3ElevenLabs Flash / Turbo78● 85● 88● 80● 90● 95$0.05/1K chars · ~75ms✅
4Microsoft MAI-Voice-270● 60● 85● 78● 0● 80$22/1M chars · Arabic ⚠️⚠️
5GLM-TTS68● 55● 85● 80● 88● 85Open · 3s clone⚠️
6Mistral Voxtral TTS66● 55● 82● 72● 0● 80$0.016/1K chars⚠️
STT — speech-to-text (6 models)
Show score ≥
#ModelScoreEgyptian / ArabicLanguagesReal-timeAccuracy$/min audioConf.
1Grok STT82● 8525● 90● 92$0.10/hr batch · diarization✅
2GLM-ASR-251276● 8030● 90● 88Open · Arabic ✅⚠️
3ElevenLabs Scribe v276● 7890● 90● 91$0.39/hr · 150ms❓
4OpenAI gpt-4o-transcribe74● 7099● 85● 90$0.003/min mini⚠️
5gpt-realtime-whisper72● 7099● 92● 88$0.017/min streaming⚠️
6Gemini 3.1 Flash STT70● 6890● 88● 86~$0.005–0.01/min⚠️
$/min normalised from list prices using ~500 chars/min & ~1,500 tok/min speech-rate assumptions. Open (self-host) = weights on Hugging Face, no API fee.
Image Gen
Top score
93
GPT Image 2 — Arena Elo 1339
Best Arabic rendering
GPT Image 2
Pixel-perfect Arabic (only confirmed premium)
Best open + Arabic
HunyuanImage 3.0
80B MoE, multilingual, self-hostable
Cheapest viable
$0.002
Luma Photon Flash /image (1080p)
Arabic text-in-image is the gate for Hedge / Arobah marketing
Score = composite of Arena Elo (25%), text accuracy (18%), Arabic rendering (15%), prompt adherence (12%), cost (10%), speed (8%), API reliability (7%), resolution (5%). DALL-E 3 retired 12 May 2026 — migrate to GPT Image 2. Arabic rendering independently confirmed only for GPT Image 2, Qwen-Image 2.0 and HunyuanImage 3.0; other Arabic sub-scores are conservative estimates (⚠️).
Show score ≥
#ModelMakerScoreArena EloText in imageArabic textPrompt adh.Speed$/imageOpen?Conf.
1GPT Image 2 (high)OpenAI931339● 99● 95● 92● 75$0.211 (high) · $0.053 (med)No✅
2Reve 2.0Reve841281● 88● 60● 88● 82$0.024 · $0.04 editNo⚠️
3MAI-Image-2.5Microsoft831271● 85● 60● 86● 80~$0.02–0.06 (token)No⚠️
4GPT Image 1.5 (high)OpenAI821260● 90● 82● 86● 75$0.16 (high)No✅
5Qwen-Image 2.0Alibaba821180● 92● 88● 88● 78~$0.05 (varies)Yes✅
6HiDream-O1-Image 1.5HiDream811265● 84● 58● 88● 80credit-basedYes⚠️
7Cosmos3-SuperNVIDIA801227● 78● 55● 80● 78Free (open, self-host)Yes⚠️
8Gemini 3.1 Flash ImageGoogle801170● 85● 70● 86● 90$0.067 (1K) · $0.101 (2K)No✅
9HunyuanImage 3.0Tencent801152● 88● 85● 88● 80Free (open 80B MoE)Yes✅
10Ideogram 4.0Ideogram791200● 96● 60● 90● 82$0.03 · $0.06 · $0.10Partial⚠️
11Imagen 4 UltraGoogle791150● 80● 68● 88● 60$0.06 · $0.02 FastNo⚠️
12Seedream 5.0 LiteByteDance781150● 80● 58● 84● 88$0.031 + $0.007 webNo⚠️
13CogView-4Zhipu781180● 82● 45● 88● 80$0.03 · Apache 2.0Yes⚠️
14FLUX.2 ProBlack Forest Labs771140● 80● 55● 86● 85$0.03–0.073Partial✅
15Grok Imagine 1.5xAI721173● 70● 55● 78● 85$0.02No❓
16Luma PhotonLuma Labs701100● 72● 50● 82● 92$0.015 · $0.002 FlashNo❓
$/image = representative tier. Open? Yes = weights downloadable (licence varies) · Partial = restricted licence · No = API only.
Video Gen
Video generation — GLM-seeded (provisional)
Currently holds Zhipu/GLM video models only. Scores are provisional (relative VBench-2.0 standing) and flagged ⚠️. To make this a real cross-maker comparison, add peers (Sora 2, Veo 3, Kling, Runway Gen-4, Alibaba Wan) — say the word and they get researched + populated. No Arabic-prompt testing is published for any video model.
Show score ≥
#ModelMakerScoreMax resolutionMax duration$/clipOpen?Conf.
1CogVideoX-1.5Zhipu72768×1360~10s @ 16fpsOpen (self-host)Yes⚠️
2CogVideoXZhipu701440×960~30sOpen (self-host)Yes✅
3Ying (Qingying)Zhipu681440×960~6s clipsCN market · n/aNo⚠️
Open (self-host) = weights on Hugging Face; run on your own GPUs, no per-clip API fee.
Factor weights
LLM weights (sums to 100%)
FactorWeight %Tier
Hallucination level (low = better)16critical
Following instructions exactly11high
Document generation quality9high
Long task stamina9high
Tool use / agent reliability8high
Coding quality — real software7medium
Skills / tools per conversation7medium
Research & web browsing7medium
Hard reasoning / problem solving5medium
Image / chart understanding5medium
Cost — input + output4lower
Knowledge depth (PhD-level)4lower
Frontend / web design3lower
Coding — long projects3lower
Math accuracy1lower
Memory — claimed max1lower
Voice AI weights
FactorWeight %Tier
How natural it sounds (Egyptian)22critical
Pronunciation accuracy (Egyptian)18critical
Emotion & expressiveness12high
Voice cloning quality12high
Real-time conversation (S2S)10high
Steerability (tone control)8medium
Speed to first word7medium
Speech-to-text included5medium
Cost4lower
Voice variety2lower
Best for…
LLMs
Top reasoning + coding (any class)
Claude Fable 5
SWE-Bench Verified 95% and Pro 80.3% — both #1 by a clear margin. HLE-with-tools 64.5, AA Index 60. Premium ($10/$50).
New OpenAI flagship (agentic coding)
GPT-5.6 Sol
GA 9 Jul. AA Index 59, Coding Agent Index 80 (top of the agentic table), Terminal-Bench 88.8, GPQA 89. $5/$30.
Best value at scale (any class)
Kimi K2.6
Score 86 at $0.95/$4 per 1M — open-weights. Very low hallucination, HLE-with-tools 54.0. Roughly Opus-tier value at a fraction of the cost.
#1 open-weights model (AA Index)
GLM-5.2
Leading open-weights model on the AA Intelligence Index (51). MIT, 1M context, SWE-Pro 62.1, 28% hallucination vs 86% for GPT-5.5.
New Grok — built for coding / agentic
Grok 4.5
GA 8 Jul, trained on real Cursor sessions. AA Index 54 (4th globally), Terminal-Bench 83.3, $2/$6 — ~60% cheaper than Opus 4.8.
Cheapest viable at scale
DeepSeek V4-Flash
$0.14/$0.28 per 1M, SWE-V 79%, 1M context. For translation, tagging, classification and high-volume calls.
Longest autonomous tasks
Qwen 3.7-Max
Architected for ~35-hour autonomous runs and 1,000+ tool calls. AA Index 56.6, SWE-Pro 60.6.
Best balanced Claude for docs / decks
Claude Sonnet 5
Near-Opus agentic quality at $3/$15 (intro $2/$10 to Aug 31). SWE-Pro 63.2 > GPT-5.5.
Best self-hosted / data privacy
GLM-5.2 / Kimi K2.6 / DeepSeek
Open weights — skip API cost, keep data on your own cluster. GLM & Kimi lead capability; DeepSeek leads price.
Voice (Egyptian Arabic)
Live Egyptian conversation (S2S)
gpt-realtime-1.5 / Grok Voice Agent
Both strong on Egyptian. Grok at $0.05/min vs OpenAI ~$0.18–0.46/min — Grok far cheaper & lower-latency; OpenAI edges naturalness.
Best Egyptian TTS
ElevenLabs v3
Only vendor explicitly confirming Egyptian (plus Saudi/Levantine/Gulf/Maghrebi). Best naturalness, emotion & cloning.
Cheapest STT for Arabic
Grok STT
$0.10/hr batch, $0.20/hr streaming. 25+ languages, speaker diarization and word-level timestamps.
Image generation
Best overall (English)
GPT Image 2
Arena Elo 1339, 99% text accuracy, reasoning-powered. $0.053 (med) / $0.211 (high) per image.
Best Arabic / Egyptian
GPT Image 2
Only premium model with pixel-perfect Arabic confirmed. Qwen-Image 2.0 and HunyuanImage 3.0 are strong multilingual alternatives.
Best open + Arabic (self-host)
HunyuanImage 3.0
80B MoE, multilingual incl. Arabic, open OpenMDW licence — free to self-host on your own GPUs.
Sources & methodology
Primary benchmark leaderboards (verified 6 Jul 2026)
  • Artificial Analysis Intelligence Index (v4.1) — Fable 5 60, GPT-5.6 Sol 59, Qwen 3.7-Max 56.6, Grok 4.5 54, Sonnet 5 53, GLM-5.2 51 (#1 open), DeepSeek V4-Pro 50.4. source →
  • Vals.ai SWE-Bench Verified (updated 1 Jul) — Fable 5 95.0, Opus 4.8 88.6, Gemini 3.5 Flash 78.8. source →
  • Morphllm SWE-Bench Pro — Fable 5 80.3, Opus 4.8 69.2, Sonnet 5 63.2, GLM-5.2 62.1, Qwen 3.7-Max 60.6, Kimi K2.6 58.6. source →
  • AA-Omniscience (hallucination) — GLM-5.2 28% hallucination vs GPT-5.5 86%. source →
  • AA Image Arena (text-to-image) — GPT Image 2 1339, Reve 2.0 1281, MAI-Image-2.5 1271, Cosmos3 1227 (top open-weight). source →
Model & pricing sources
  • Anthropic Claude catalog — Fable 5 $10/$50, Opus 4.8 $5/$25, Sonnet 5 $3/$15 (intro $2/$10 to 31 Aug). All 1M context. source →
  • Google Gemini — 3.5 Flash $1.50/$9 is the current LLM entry; 3.5 Pro delayed (~17 Jul). source →
  • Moonshot Kimi K2.6 & K2.7-Code $0.95/$4 (cache-hit $0.19), 256K, Modified MIT. source →
  • DeepSeek V4-Pro $0.44/$0.87, V4-Flash $0.14/$0.28, 1M context. source →
Methodology
  • Benchmark-anchored scoring: the score is a 0–100 composite anchored to SWE-Bench Verified/Pro, HLE, GPQA, AA Intelligence Index and AA-Omniscience. Displayed sub-scores are analytical mappings from those benchmarks — not vendor marketing claims. OpenAI & xAI report agentic-coding indices & Terminal-Bench rather than SWE-Bench Pro.
  • Confidence flags on every row: ✅ verified from a primary/neutral-aggregator source; ⚠️ partial or estimated; ❓ released but no public benchmarks yet.
  • Egyptian Arabic gate (voice): retained. Only ElevenLabs v3 confirms Egyptian; GLM-ASR-2512 confirms generic Arabic. GLM-4-Voice (CN/EN only) fails the gate.
  • Still not scored (benchmarks pending): Google Gemini 3.5 Pro (delayed, ~17 Jul, enterprise preview). No model newer than GPT-5.6 / Grok 4.5 / GLM-5.2 confirmed as of 6 Jul 2026.
03

AI Markets

AI leaders and their capital cycle — capex commitments alongside the month’s market moves.

AI complex — share performance, year to date
+22.7% Nvidia +5.3% Microsoft +9.5% Alphabet +8.4% Meta +6.6% Amazon +1% Broadcom +49% TSMC +183.8% AMD
Nvidia (NVDA)
$228.86
+0.65% today
Microsoft (MSFT)
$509.22
+1.52% today
Alphabet (GOOGL)
$342.75
-3.44% today
Meta (META)
$715.62
-3.46% today
Chips

Nvidia launches new platform for reining in rogue AI agents

(28 Sep) Nvidia CEO Jensen Huang introduced a new toolkit of software and hardware products designed to add independent security layers around AI agents. The platform aims to ensure agents remain within their test environments even if they attempt to break out.

Read full article → TechCrunch
Policy

Khanna to introduce AI safety bill with ban on 'recursive' technology until safeguards exist

(28 Sep) U.S. Representative Ro Khanna is introducing an AI safety bill that would ban the development of 'recursive' AI technology until adequate safeguards are in place. The proposal adds to a growing list of legislative measures in Congress aimed at regulating the industry.

Read full article → CNBC
Policy

Zuckerberg, Amodei among tech executives set to meet Trump Tuesday

(28 Sep) Top technology executives, including Meta's Mark Zuckerberg and Anthropic's Dario Amodei, are scheduled to meet with President Trump on Tuesday. The meeting follows intense recent debates over AI safety, with several lab CEOs calling for a slower pace in frontier model development.

Read full article → CNBC
04

Infrastructure & Capital

Compute

Samsung to inject $1 billion into Nvidia- and KKR-backed AI infrastructure firm · $1bn

(29 Sep) Samsung Electronics and five of its affiliates are investing $1 billion in Helix, an AI infrastructure firm launched by KKR. The investment expands the South Korean tech giant's push into global data center and AI compute capacity.

Read full article → CNBC
Funding

Inference provider Modal Labs closing in on $750M round at $15.75B valuation · $750m

(28 Sep) AI infrastructure startup Modal Labs is finalizing a $750 million funding round that values the inference provider at $15.75 billion. The new financing more than triples the company's valuation from just four months ago.

Read full article → TechCrunch
Compute

AMD will acquire Fei-Fei Li’s World Labs for $8.2 billion · $8.2bn

(28 Sep) AMD is acquiring World Labs, the AI startup founded by Fei-Fei Li, in a deal worth $8.2 billion. Li will join the chipmaker as executive vice president and chief scientist following the acquisition.

Read full article → TechCrunch
Funding

Viral AI agent Instinct raises $1B Series C at a $10B valuation · $1bn

(28 Sep) Personal AI agent startup Instinct has raised a $1 billion Series C round, valuing the company at $10 billion. Founder Noah Shinn stated the funding will be used to expand the platform's user base and continue product development.

Read full article → TechCrunch
Compute

OpenAI sparked Hugging Face bids with early investment offer ahead of Nvidia's $13 billion deal · $13bn

(28 Sep) Hugging Face attracted multiple acquisition bids before Nvidia agreed to purchase the open-source platform for roughly $13 billion. OpenAI had previously sparked the deal interest with an early investment offer to the company.

Read full article → CNBC