The week across the frontier labs — new defaults, previews and open-weight releases — plus where the coding benchmarks stand.
Kimi K3 — Moonshot AI's Kimi K3 is a 2.8-trillion-parameter sparse MoE model (896 experts, 16 active per token) with a 1-million-token context window and native multimodal support for text, images, and video. Full open weights published to Hugging Face today (July 27, 2026, 00:00 UTC) under a Modified MIT license; the model has been live on the Kimi API and apps since July 16. API pricing is $3/M input and $15/M output tokens. At 1.4 TB in MXFP4, practical self-hosting requires at minimum 8× H100 80 GB nodes. · 27 Jul
Read → kimi.com · TechTimes · Interconnects.aiClaude Opus 5 — Anthropic released Claude Opus 5 on July 24, 2026 — its fourth Claude 5 model in under two months. The model is designed for autonomous coding, scientific research, and knowledge work at half the cost of the flagship Fable 5, with API pricing held flat at $5/$25 per 1M tokens (identical to Opus 4.8). A new user-selectable effort toggle (low/medium/high) lets teams balance cost against compute depth. Opus 5 tops Artificial Analysis's Intelligence Index at 61 and Agentic Index at 55.3, and reached state-of-the-art on Frontier-Bench and GDPval-AA, though it trails Mythos 5 on cybersecurity tasks. · 24 Jul
Read → Axios · TechCrunch · FortuneGemini 3.6 Flash — Google shipped Gemini 3.6 Flash on July 21, 2026, cutting output pricing to $7.50 per 1M tokens and targeting the high-throughput inference tier. The model sits on Artificial Analysis's Intelligence Index at 57. Gemini 3.5 Pro remains in Vertex AI enterprise preview with no confirmed GA date. · 21 Jul
Read → felloai.com · LLM GatewayGPT-5.6 (Sol / Terra / Luna) — OpenAI's three-tier GPT-5.6 family reached general availability on July 9, 2026 across ChatGPT, ChatGPT Work, Codex, and the API. Sol (flagship, $5/$30 per 1M tokens) targets hard coding, reasoning, and science; Terra (balanced, $2.50/$15) aims for GPT-5.5-level quality at half the cost; Luna (efficient, $1/$6) is built for high-volume tasks. All three carry 1.05M context and 128K max output. The bare gpt-5.6 alias routes to Sol. · 9 Jul
Read → tech-reader.blog · kingy.ai · LLM GatewayGrok 4.5 — xAI released Grok 4.5 publicly on July 8, 2026. It is a 1.5-trillion-parameter Mixture-of-Experts model trained on Cursor interaction data, priced at $2/$6 per 1M tokens and scoring Intelligence Index 54 on Artificial Analysis v4.1. On Terminal-Bench 2.1 it scored 83.3% while using approximately 25% as many output tokens as Opus 4.8 on comparable tasks. · 8 Jul
Read → felloai.com · aiapps.comMuse Spark 1.1 — Meta shipped Muse Spark 1.1 on July 9, 2026 — its first paid developer model ($1.25/$4.25 per 1M tokens), available in public preview with $20 in free credits for US developers. The model carries a 1-million-token context window, computer use across desktop, browser, and mobile, and parallel subagent delegation. It claims #1 on MCP Atlas, JobBench, Humanity's Last Exam, and Finance Agent V2. · 9 Jul
Read → ThursdAI · aiapps.com · LLM GatewayThe 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.
| # | Model | Score | Business use | Web research | Presentation | Low halluc. | Coding | Tool use | Docs | Cost (in/out $) | Open? | Conf. |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Claude Fable 5 | 93 | ● 95 | ● 90 | ● 93 | ● 96 | ● 97 | ● 95 | ● 94 | $10 / $50 | No | ✅ |
| 2 | Claude Opus 4.8 | 90 | ● 93 | ● 82 | ● 91 | ● 92 | ● 93 | ● 92 | ● 93 | $5 / $25 | No | ✅ |
| 3 | GPT-5.6 Sol | 89 | ● 90 | ● 90 | ● 88 | ● 82 | ● 92 | ● 92 | ● 90 | $5 / $30 | No | ✅ |
| 4 | Claude Sonnet 5 | 86 | ● 90 | ● 80 | ● 88 | ● 89 | ● 89 | ● 90 | ● 90 | $3 / $15* | No | ✅ |
| 5 | Kimi K2.6 | 86 | ● 88 | ● 92 | ● 88 | ● 95 | ● 90 | ● 94 | ● 88 | $0.95 / $4.00 | Yes | ✅ |
| 6 | GLM-5.2 | 83 | ● 78 | ● 78 | ● 76 | ● 80 | ● 88 | ● 86 | ● 76 | $1.40 / $4.40 | Yes | ✅ |
| 7 | Qwen 3.7-Max | 83 | ● 80 | ● 74 | ● 78 | ● 78 | ● 86 | ● 88 | ● 76 | $1.25 / $3.75* | No | ✅ |
| 8 | GPT-5.6 Terra | 82 | ● 84 | ● 84 | ● 80 | ● 80 | ● 86 | ● 85 | ● 84 | $2.50 / $15.00 | No | ✅ |
| 9 | Grok 4.5 | 82 | ● 78 | ● 82 | ● 76 | ● 78 | ● 86 | ● 84 | ● 76 | $2 / $6 | No | ✅ |
| 10 | Kimi K2.7-Code | 82 | ● 78 | ● 80 | ● 76 | ● 90 | ● 93 | ● 90 | ● 78 | $0.95 / $4.00 | Yes | ⚠️ |
| 11 | GLM-5V-Turbo (vision) | 81 | ● 78 | ● 76 | ● 82 | ● 76 | ● 90 | ● 86 | ● 82 | $1.20 / $4.00 | No | ⚠️ |
| 12 | Gemini 3.5 Flash | 81 | ● 76 | ● 88 | ● 78 | ● 80 | ● 85 | ● 82 | ● 76 | $1.50 / $9.00 | No | ✅ |
| 13 | DeepSeek V4-Pro | 81 | ● 78 | ● 75 | ● 76 | ● 82 | ● 86 | ● 80 | ● 78 | $0.44 / $0.87 | Yes | ⚠️ |
| 14 | MiniMax M3 | 78 | ● 75 | ● 88 | ● 76 | ● 75 | ● 82 | ● 80 | ● 78 | $0.30 / $1.20 | Yes | ⚠️ |
| 15 | DeepSeek V4-Flash | 75 | ● 70 | ● 68 | ● 68 | ● 74 | ● 82 | ● 74 | ● 70 | $0.14 / $0.28 | Yes | ✅ |
| 16 | MiMo-V2.5-Pro | 73 | ● 72 | ● 70 | ● 72 | ● 74 | ● 80 | ● 76 | ● 74 | $0.44 / $0.87 | No | ✅ |
| 17 | GPT-5.6 Luna | 72 | ● 72 | ● 74 | ● 70 | ● 76 | ● 74 | ● 74 | ● 72 | $1 / $6 | No | ✅ |
| 18 | ERNIE 5.1 | 72 | ● 74 | ● 72 | ● 72 | ● 74 | ● 74 | ● 72 | ● 74 | $0.59 / $2.65 | No | ✅ |
| 19 | Qwen 3.7-Plus | 72 | ● 74 | ● 72 | ● 74 | ● 76 | ● 82 | ● 76 | ● 74 | $0.32 / $1.28 | No | ⚠️ |
| # | Model | Score | Egyptian quality | Naturalness | Emotion | Cloning | Real-time | $/min audio | Conf. |
|---|---|---|---|---|---|---|---|---|---|
| 1 | gpt-realtime-1.5 | 90 | ● 95 | ● 92 | ● 85 | ● 70 | ● 85 | ~$0.18–0.46/min | ⚠️ |
| 2 | Grok Voice Agent | 88 | ● 95 | ● 90 | ● 85 | ● 88 | ● 95 | $0.05/min · 2-min clone | ✅ |
| 3 | gpt-realtime-mini | 80 | ● 92 | ● 85 | ● 85 | ● 60 | ● 90 | $0.063–0.146/min | ❓ |
| 4 | Gemini 3.1 Flash Live | 78 | ● 82 | ● 86 | ● 78 | ● 0 | ● 92 | ~$0.008/min | ⚠️ |
| 5 | GLM-4-Voice | 55 | ● 30 | ● 80 | ● 75 | ● 60 | ● 90 | Open · CN/EN only | ⚠️ |
| # | Model | Score | Egyptian quality | Naturalness | Emotion | Cloning | Latency | $/min audio | Conf. |
|---|---|---|---|---|---|---|---|---|---|
| 1 | ElevenLabs v3 Multilingual | 88 | ● 92 | ● 95 | ● 95 | ● 95 | ● 80 | $0.10–0.30/1K chars · Egyptian ✅ | ✅ |
| 2 | Grok TTS | 86 | ● 90 | ● 88 | ● 80 | ● 85 | ● 92 | $4.20/1M chars · 120s clone | ✅ |
| 3 | ElevenLabs Flash / Turbo | 78 | ● 85 | ● 88 | ● 80 | ● 90 | ● 95 | $0.05/1K chars · ~75ms | ✅ |
| 4 | Microsoft MAI-Voice-2 | 70 | ● 60 | ● 85 | ● 78 | ● 0 | ● 80 | $22/1M chars · Arabic ⚠️ | ⚠️ |
| 5 | GLM-TTS | 68 | ● 55 | ● 85 | ● 80 | ● 88 | ● 85 | Open · 3s clone | ⚠️ |
| 6 | Mistral Voxtral TTS | 66 | ● 55 | ● 82 | ● 72 | ● 0 | ● 80 | $0.016/1K chars | ⚠️ |
| # | Model | Score | Egyptian / Arabic | Languages | Real-time | Accuracy | $/min audio | Conf. |
|---|---|---|---|---|---|---|---|---|
| 1 | Grok STT | 82 | ● 85 | 25 | ● 90 | ● 92 | $0.10/hr batch · diarization | ✅ |
| 2 | GLM-ASR-2512 | 76 | ● 80 | 30 | ● 90 | ● 88 | Open · Arabic ✅ | ⚠️ |
| 3 | ElevenLabs Scribe v2 | 76 | ● 78 | 90 | ● 90 | ● 91 | $0.39/hr · 150ms | ❓ |
| 4 | OpenAI gpt-4o-transcribe | 74 | ● 70 | 99 | ● 85 | ● 90 | $0.003/min mini | ⚠️ |
| 5 | gpt-realtime-whisper | 72 | ● 70 | 99 | ● 92 | ● 88 | $0.017/min streaming | ⚠️ |
| 6 | Gemini 3.1 Flash STT | 70 | ● 68 | 90 | ● 88 | ● 86 | ~$0.005–0.01/min | ⚠️ |
| # | Model | Maker | Score | Arena Elo | Text in image | Arabic text | Prompt adh. | Speed | $/image | Open? | Conf. |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | GPT Image 2 (high) | OpenAI | 93 | 1339 | ● 99 | ● 95 | ● 92 | ● 75 | $0.211 (high) · $0.053 (med) | No | ✅ |
| 2 | Reve 2.0 | Reve | 84 | 1281 | ● 88 | ● 60 | ● 88 | ● 82 | $0.024 · $0.04 edit | No | ⚠️ |
| 3 | MAI-Image-2.5 | Microsoft | 83 | 1271 | ● 85 | ● 60 | ● 86 | ● 80 | ~$0.02–0.06 (token) | No | ⚠️ |
| 4 | GPT Image 1.5 (high) | OpenAI | 82 | 1260 | ● 90 | ● 82 | ● 86 | ● 75 | $0.16 (high) | No | ✅ |
| 5 | Qwen-Image 2.0 | Alibaba | 82 | 1180 | ● 92 | ● 88 | ● 88 | ● 78 | ~$0.05 (varies) | Yes | ✅ |
| 6 | HiDream-O1-Image 1.5 | HiDream | 81 | 1265 | ● 84 | ● 58 | ● 88 | ● 80 | credit-based | Yes | ⚠️ |
| 7 | Cosmos3-Super | NVIDIA | 80 | 1227 | ● 78 | ● 55 | ● 80 | ● 78 | Free (open, self-host) | Yes | ⚠️ |
| 8 | Gemini 3.1 Flash Image | 80 | 1170 | ● 85 | ● 70 | ● 86 | ● 90 | $0.067 (1K) · $0.101 (2K) | No | ✅ | |
| 9 | HunyuanImage 3.0 | Tencent | 80 | 1152 | ● 88 | ● 85 | ● 88 | ● 80 | Free (open 80B MoE) | Yes | ✅ |
| 10 | Ideogram 4.0 | Ideogram | 79 | 1200 | ● 96 | ● 60 | ● 90 | ● 82 | $0.03 · $0.06 · $0.10 | Partial | ⚠️ |
| 11 | Imagen 4 Ultra | 79 | 1150 | ● 80 | ● 68 | ● 88 | ● 60 | $0.06 · $0.02 Fast | No | ⚠️ | |
| 12 | Seedream 5.0 Lite | ByteDance | 78 | 1150 | ● 80 | ● 58 | ● 84 | ● 88 | $0.031 + $0.007 web | No | ⚠️ |
| 13 | CogView-4 | Zhipu | 78 | 1180 | ● 82 | ● 45 | ● 88 | ● 80 | $0.03 · Apache 2.0 | Yes | ⚠️ |
| 14 | FLUX.2 Pro | Black Forest Labs | 77 | 1140 | ● 80 | ● 55 | ● 86 | ● 85 | $0.03–0.073 | Partial | ✅ |
| 15 | Grok Imagine 1.5 | xAI | 72 | 1173 | ● 70 | ● 55 | ● 78 | ● 85 | $0.02 | No | ❓ |
| 16 | Luma Photon | Luma Labs | 70 | 1100 | ● 72 | ● 50 | ● 82 | ● 92 | $0.015 · $0.002 Flash | No | ❓ |
| # | Model | Maker | Score | Max resolution | Max duration | $/clip | Open? | Conf. |
|---|---|---|---|---|---|---|---|---|
| 1 | CogVideoX-1.5 | Zhipu | 72 | 768×1360 | ~10s @ 16fps | Open (self-host) | Yes | ⚠️ |
| 2 | CogVideoX | Zhipu | 70 | 1440×960 | ~30s | Open (self-host) | Yes | ✅ |
| 3 | Ying (Qingying) | Zhipu | 68 | 1440×960 | ~6s clips | CN market · n/a | No | ⚠️ |
| Factor | Weight % | Tier |
|---|---|---|
| Hallucination level (low = better) | 16 | critical |
| Following instructions exactly | 11 | high |
| Document generation quality | 9 | high |
| Long task stamina | 9 | high |
| Tool use / agent reliability | 8 | high |
| Coding quality — real software | 7 | medium |
| Skills / tools per conversation | 7 | medium |
| Research & web browsing | 7 | medium |
| Hard reasoning / problem solving | 5 | medium |
| Image / chart understanding | 5 | medium |
| Cost — input + output | 4 | lower |
| Knowledge depth (PhD-level) | 4 | lower |
| Frontend / web design | 3 | lower |
| Coding — long projects | 3 | lower |
| Math accuracy | 1 | lower |
| Memory — claimed max | 1 | lower |
| Factor | Weight % | Tier |
|---|---|---|
| How natural it sounds (Egyptian) | 22 | critical |
| Pronunciation accuracy (Egyptian) | 18 | critical |
| Emotion & expressiveness | 12 | high |
| Voice cloning quality | 12 | high |
| Real-time conversation (S2S) | 10 | high |
| Steerability (tone control) | 8 | medium |
| Speed to first word | 7 | medium |
| Speech-to-text included | 5 | medium |
| Cost | 4 | lower |
| Voice variety | 2 | lower |
AI leaders and their capital cycle — capex commitments alongside the month’s market moves.
(26 Jul) CEO Jensen Huang confirmed Vera Rubin chips are already in production on TSMC 3nm, with mass system shipments from Foxconn, Quanta, and Wistron commencing Q3 2026. Each Vera Rubin AI server rack is estimated at ~$180M; CEO Huang has flagged $1T in combined Vera Rubin and Grace Blackwell orders through 2027.
Read full article → Motley Fool · wccftech · TradingKey(26 Jul) Alphabet, Amazon, and Meta together now plan to spend over $500 billion on AI infrastructure in 2026. Alphabet's raised guidance came after its Q2 2026 earnings; its cloud contract backlog reached $460 billion, roughly double the Q4 2025 figure. Nvidia's data-center revenue rose 92% YoY to $75.2bn in its most recent quarter, confirming demand absorption.
Read full article → Motley Fool · Yahoo Finance · Tom's Hardware(23 Jul) Both Alphabet (GOOGL) and Tesla (TSLA) reported negative free cash flow in Q2 2026 as capital expenditures ballooned. Alphabet's capex guidance rose by $5bn to as much as $190–205bn for FY2026; shares climbed 7% after hours on strong cloud revenue, putting Alphabet on track for a ~$4.3T market valuation.
Read full article → TradingKey · Tom's Hardware · Yahoo Finance(20 Jul) Microsoft is tracking $190bn+ in FY2026 capex and expects to remain GPU/CPU capacity-constrained through the year. The company disclosed an $80bn backlog of Azure orders that cannot be fulfilled due to power constraints. Microsoft began routing production workloads in Excel and Outlook to its internal MAI model family to reduce third-party model costs.
Read full article → CNBC · Motley Fool · tech-reader.blog(28 May) Anthropic raised $65 billion in Series H led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, valuing the lab at $965 billion post-money — surpassing OpenAI's $852bn mark. The round includes $15bn of previously committed hyperscaler investments, including $5bn from Amazon. Anthropic's revenue run rate at time of close was $47bn; the company is preparing for a 2026 IPO.
Read full article → Crunchbase · Morningstar · Axios(Feb 2026) OpenAI closed a $122 billion funding round — the largest private venture round in history — at an $852 billion post-money valuation, with Amazon named exclusive third-party cloud partner as part of a $50bn commitment. With 900 million weekly active users and over $20bn in annualized revenue, the company is targeting a near-$1T IPO valuation in Q4 2026.
Read full article → Crunchbase · crescendo.ai(May–Jun 2026) Anthropic signed agreements with Amazon for 5 gigawatts of new compute capacity and with Google and Broadcom for 5 gigawatts of next-generation TPU capacity. The company also partnered with SpaceX for GPU access at its Colossus 1 and Colossus 2 plants, making Anthropic one of the largest non-hyperscaler compute consumers.
Read full article → Yahoo Finance · CNBC(Jul 2026) CEO Jensen Huang has publicly flagged $1 trillion in combined orders for Vera Rubin and Grace Blackwell platforms through 2027. Vera Rubin mass shipments begin Q3 2026 via Foxconn, Quanta, and Wistron; TSMC is running production on 3nm. Analysts estimate Nvidia FY2027 revenue at $392bn and FY2028 at $554bn.
Read full article → wccftech · Motley Fool · TradingKey(Apr–Jul 2026) Google, Amazon, Microsoft, and Meta collectively plan to spend $725 billion on capex in 2026, up 77% from last year's record $410 billion. Alphabet raised its guidance to $205bn, Amazon holds at ~$200bn, Microsoft at ~$190bn, and Meta at up to $145bn (raised $10bn after Q2). Goldman Sachs now projects $5.3 trillion in combined hyperscaler capex from FY2025 to FY2030.
Read full article → Yahoo Finance · Tom's Hardware · Motley Fool(1 Jul) Together AI closed $800 million in Series C funding led by Aramco Ventures, with Nvidia, Vista Equity Partners, General Catalyst, Salesforce Ventures, and others co-investing. Post-money valuation reached $8.3 billion. Annual bookings had already crossed $1.15 billion in Q2 2026.
Read full article → TechCrunch · techstartups.com · venturecapitaltracker.com(Jul 2026) Abu Dhabi's MGX closed Fund I at $49 billion, exceeding its $45 billion target, with investments across 14 companies spanning semiconductors, AI infrastructure, and AI platforms. MGX is developing Europe's largest AI campus near Paris with 3GW compute capacity and acquired Aligned Data Centres as part of a $40bn consortium deal.
Read full article → crescendo.ai · venturecapitaltracker.com(Jul 2026) OpenAI unveiled its first custom inference chip, co-developed with Broadcom: a reticle-sized ASIC on TSMC 3nm with stacked HBM and Tomahawk 6 networking at 1.6 Tbps, going from design to tape-out in ~9 months with OpenAI's own models assisting design. Engineering samples are already running GPT-5.3-Codex-Spark; deployment is targeted for end of 2026. Broadcom CEO Hock Tan claims ~50% cost savings versus GPU-based inference.
Read full article → aisocratic.org