The week across the frontier labs — new defaults, previews and open-weight releases — plus where the coding benchmarks stand.
Astra — (7 Aug) OpenAI has slowed the development of its Astra model after it reached a critical cybersecurity threshold, demonstrating the ability to independently identify and execute cyberattacks on protected systems. The company is sharing preliminary evaluations and strengthening safeguards in response to these capabilities. · 7 Aug
Read → TechCrunchChatGPT — (8 Aug) OpenAI has acquired presentation startup NextSlide, integrating its team members directly into the development of ChatGPT. The move signals OpenAI's continued expansion of its consumer and enterprise productivity capabilities. · 8 Aug
Read → TechCrunchThe 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.
(8 Aug) AI stocks experienced a massive rebound this week, helping to lift two of the major U.S. averages to fresh records. The rally follows a period of volatility and highlights renewed investor confidence in the sector.
Read full article → CNBC(8 Aug) A hack targeting Hugging Face underscores the emerging cybersecurity risks associated with AI agents, according to experts at the Black Hat conference. Security researchers warn that vulnerabilities in AI systems from major labs are stacking up and catching many firms off guard.
Read full article → CNBC(7 Aug) Software stocks experienced massive swings in both directions this week as investors debate the long-term impact of artificial intelligence on the sector. Market participants are actively trying to determine which traditional software companies are best insulated from AI disruption.
Read full article → CNBC(7 Aug) Chinese AI companies have made significant recent leaps in closing the performance gap with U.S. frontier labs. Despite this progress, the United States maintains a major structural advantage in the global AI race.
Read full article → CNBC(7 Aug) SK Hynix plans to invest $38 billion to construct new memory chip manufacturing plants to meet surging demand. Memory prices have risen sharply due to short supply and heavy consumption in AI applications.
Read full article → CNBC(8 Aug) Amazon is investing in an on-site power plant for a planned Texas data center that could become the largest source of climate pollution in the United States. The project highlights the growing environmental footprint of expanding AI and cloud computing infrastructure.
Read full article → TechCrunch(7 Aug) Live commerce platform Whatnot has increased its valuation to $20 billion amid continued growth in the live shopping sector. The funding round underscores sustained investor appetite for consumer-facing digital marketplaces.
Read full article → CNBC