The week across the frontier labs — new defaults, previews and open-weight releases — plus where the coding benchmarks stand.
Gemini 3.6 Flash / 3.5 Flash-Lite / 3.5 Flash Cyber — Google DeepMind shipped three Gemini models on 21 Jul: 3.6 Flash (workhorse, 17% fewer output tokens vs 3.5 Flash, DeepSWE 49% vs 37%, output price cut from $9 to $7.50/M tokens, knowledge cutoff advances to Mar 2026); 3.5 Flash-Lite (highest-throughput, 350 tok/s, $0.30/$2.50 per M tokens); and 3.5 Flash Cyber (security vulnerability specialist, gated to governments/trusted partners only). Gemini 3.5 Pro remains delayed; Google quietly confirmed Gemini 4 pre-training has begun. · 21 Jul
Read → Google DeepMind Blog · TechCrunch · 9to5GoogleKimi K3 — Moonshot AI released Kimi K3 on 16 Jul — a 2.8-trillion-parameter MoE model, self-described as the world's first 'open 3T-class' model, roughly 75% larger than DeepSeek V4 Pro. It features a 1M-token context window, native multimodal input, and always-on reasoning; full open weights are scheduled for release 27 Jul under a Modified MIT licence. Self-reported benchmarks place it ahead of Claude Opus 4.8 and GPT-5.5, behind Fable 5 and GPT-5.6 Sol. Cost is $15/M output tokens, vs $50 for Fable 5. · 16 Jul
Read → Bloomberg · VentureBeat · FortuneClaude Sonnet 5 — Anthropic launched Claude Sonnet 5 on 30 Jun as its most agentic Sonnet, replacing Sonnet 4.6 as the default across Free and Pro plans. It matches Opus 4.8 performance on several agentic tasks, executes multi-step plans with browser and terminal tools, and checks its own output without prompting. Introductory pricing is $2/$10 per M tokens (input/output) through 31 Aug 2026, rising to $3/$15 thereafter. · 30 Jun
Read → Anthropic · TechCrunch · MacRumorsGPT-5.6 (Sol / Terra / Luna) — GPT-5.6 launched mid-July as a three-tier family following a staged US Commerce Dept review: Sol (flagship, Ultra subagent mode, Max reasoning, ARC-AGI-3 score 7.8%), Terra (GPT-5.5-level quality at ~half the cost), and Luna (fast tier). All three share the ~4T-parameter Spud pre-train from GPT-5.5. Sol also runs on Cerebras at 700+ tokens/second. Sol rolled to all paid plans within 24 hours; Terra and Luna reached free users. · 9 Jul
Read → ThursdAI · MarketingProfs · AIAppsMuse Spark 1.1 — Mark Zuckerberg announced Muse Spark 1.1 mid-July: a 1M-token-context agentic model that claims #1 on MCP Atlas, JobBench, Humanity's Last Exam, and Finance Agent V2. The model reports 61.5% on SWE-bench Pro — above Qwen 3.7 Max (60.6%) — and is priced at $1.25/$4.25 per 1M tokens. Meta's enterprise tool Claude Cowork-equivalent, an agent that handles email, calendar, and file tasks, launched 7 Jul. · 9 Jul
Read → ThursdAI · CodingFleet · AIAppsGemini 3.6 Flash → GitHub Copilot — GitHub confirmed on 21 Jul that Gemini 3.6 Flash is now rolling out inside GitHub Copilot for Pro, Pro+, Max, Business, and Enterprise tiers. It offers configurable reasoning effort and parallel tool-use across complex workflows, billed at provider list pricing under usage-based billing. · 21 Jul
Read → GitHub ChangelogThe 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.
(Jul 2026) Analysts continue lifting Nvidia earnings forecasts; server GPU market share stands at ~97% (end-2025, up from 95% the prior year). Investors are rotating into memory/storage names — Micron is up 229% YTD — while Nvidia trades at ~18x forward earnings, below S&P 500 multiples.
Read full article → Yahoo Finance(Apr–Jul 2026) Amazon (~$200bn), Microsoft (~$190bn), Alphabet ($180–190bn), and Meta ($125–145bn) collectively plan $725bn in capex for 2026, a 77% jump from ~$410bn in 2025. Goldman Sachs projects combined hyperscaler capex exceeding $1 trillion in 2027.
Read full article → Yahoo Finance · Tom's Hardware(22 Jul 2026) TechCrunch reports OpenAI's infrastructure spending commitments through 2030 have grown to $750bn — approximately equal to Sweden's GDP. Georgia Power regulatory filings reveal OpenAI has contracted ~3.3 GW of new power capacity in the state, with electricity expected to flow from 2028.
Read full article → TechCrunch(Jul 2026) S&P Global Market Intelligence data show global VC/PE funding reached $463.17bn in H1 2026, driven by OpenAI, xAI, and Project Prometheus. Deal count fell 6% YoY to 7,874 transactions, underscoring capital concentration into fewer, larger AI bets.
Read full article → Benzinga(22 Jul 2026) TechCrunch reports OpenAI's total infrastructure spend commitments have reached $750bn through 2030 — roughly Sweden's GDP. Georgia Power PSC filings detail OpenAI contracting ~3.3 GW of new generating capacity (mostly natural gas), with GPU operations expected from 2028. Partners include SoftBank, Nvidia, and Amazon.
Read full article → TechCrunch(22 Jul 2026) NASDAQ-listed neocloud Axe Compute (AGPU) announced $1.3bn+ in new U.S. and European AI infrastructure customer contracts via its Build design-deploy-own-operate programme, surpassing its $1bn FY2026 target. Revenue deployment begins late Q4 2026, with ARR expected to exceed $384M on activation.
Read full article → GlobeNewswire(20 Jul 2026) General Compute closed a $400M loan from Upper90 using AI inference chips (not training GPUs) as collateral — the first deal of its kind, signalling that inference hardware is maturing into a financeable asset class. The structure differs from prior GPU-backed credit in that it targets production serving infrastructure rather than frontier training clusters.
Read full article → Asanify / AI News Digest(Mar–Jul 2026) OpenAI closed a $122bn corporate round at a $852bn post-money valuation on 31 Mar 2026, with Amazon committing $50bn. By early July, OpenAI entered preliminary talks to cede a 5% equity stake (~$42.6bn) to a US government sovereign wealth vehicle, with Sam Altman seeking parallel stakes from Anthropic, Google, and Meta.
Read full article → OpenAI · Tech Insider(2 Jul 2026) Crunchbase News reported global startup funding hit ~$510bn in H1 2026, a half-year record. OpenAI and Anthropic (which raised a $30bn Series G in Q1) accounted for roughly $217bn — ~43% of all capital deployed globally — illustrating extreme concentration at the frontier model layer.
Read full article → Crunchbase via SaaS Intelligence Substack(Jun 2026) Project Prometheus secured $12bn in June 2026, accounting for 27.7% of that month's total global deal value. Backers included BlackRock, JPMorgan Chase, Arch Venture Partners, DST Global, and Goldman Sachs, reflecting institutional appetite for large-scale AI infrastructure.
Read full article → Benzinga(May–Jul 2026) Moonshot AI, the Beijing-based lab behind Kimi K3, raised $2bn in May 2026, valuing the company at over $20bn. The capital supported development of the 2.8T-parameter K3 model (released 16 Jul) and its planned open-weight release on 27 Jul under Modified MIT licence.
Read full article → Fortune(Apr–Jul 2026) Amazon (~$200bn), Alphabet ($180–190bn), Microsoft (~$190bn), and Meta ($125–145bn) collectively guide to ~$725bn in FY2026 capex — up 77% from ~$410bn in 2025. Goldman Sachs projects the group's combined 2025–2030 capex at $5.3 trillion, vs a prior estimate of $4.5 trillion before Q1 earnings.
Read full article → Yahoo Finance · Tom's Hardware