Artificial Analysis

In AA-PersonalityBench, each recent Grok release from has become less sycophantic, more sincere, and produces less slop The Slop trait assesses how much generic filler or AI-flavored padding models use; Sycophantic measures whether models excessively flatter or agree with the user rather than responding honestly; Sincere measures a model’s tonal authenticity, as opposed to forced enthusiasm or templated responses. Across the last three Grok releases from @elonmusk’s @SpaceXSI, Slop fell 62 percentile points, Sycophantic fell 17, and Sincere rose 64: ➤ Slop: Grok 4.5 (68), Grok 4.6 (38) and Grok 4.7 (6) ➤ Sycophantic: Grok 4.5 (18), Grok 4.6 (3) and Grok 4.7 (1) ➤ Sincere: Grok 4.5 (26), Grok 4.6 (63) and Grok 4.7 (90)

We’ve announced the Artificial Analysis Progress Index: a single capability scale for every language model since 2022, launched alongside Intelligence Index v5 The Intelligence Index is still our primary measure of current model intelligence. It uses the evaluations most relevant to developers today, so its mix changes as evaluations are added and retired, and scores from different versions can’t be compared. The Progress Index is built for comparisons across time. It uses item response theory, a statistical method used to score standardized tests, to estimate one general capability score for each model from the underlying tasks in all our evaluations, including those that are retired or excluded from the Intelligence Index. Use the Intelligence Index to choose a model today. Use the Progress Index to see how capability has changed over time. The Progress Index builds on prior work placing models on a single capability scale, in particular @EpochAIResearch's Epoch Capabilities Index and the capability scale @AnthropicAI published in its Claude Mythos Preview system card. Key takeaways: ➤ Since reasoning models arrived, the frontier has risen ~65 to 70 points a year, about double the 2023 pace: the highest score among released models rose 35 points in 2023 (GPT-3.5 Turbo 125 to GPT-4 Turbo 160), 67 in 2024 (to o1 at 228), 68 in 2025 (to GPT-5.2 at 296) and 56 so far in 2026 (to Gemini 4 Carbon at 352). ➤ Open weights models generally trail proprietary models by about 4 months: since January 2025, each new highest open weights score came 2-8 months (median ~4) after a proprietary model first reached it. DeepSeek V4.1 Flash 1017 is the highest-scoring model with released weights at 324, a level Claude Fable 5 reached in June 2026. Kimi K3.1 Pro (weights not yet released) scores 341, about two months after the closed frontier ➤ New frontier scores are being set more often: the highest score among released models was raised on 2 release dates in 2023, 4 in 2024, 9 in 2025 and 11 so far in 2026. That is about once every four weeks this year. ➤ OpenAI has held the top score most of the time since November 2022, but the frontier has become a close contest: OpenAI held the number one position for the first 27 months measured, but in 2026 especially there have been rapid changes in the leader between OpenAI, Anthropic, and now Google

Phonic's Phonic 1 (High) is the new leading Speech to Speech model, debuting at #1 on the Artificial Analysis Speech to Speech Index at 87.1, while also leading on agentic performance and being competitive on latency Phonic 1 is @phonic_co 's Speech to Speech model, available through the Phonic API at $0.07 per minute. We evaluated Phonic 1 at its high intelligence level through the Phonic API. Key takeaways: ➤ Speech to Speech Index: #1 of 22 at 87.1, ahead of Grok Voice 3.0 (86.9) by a very small margin. The Index averages Speech Reasoning (Big Bench Audio), Agentic Performance (Tau Voice), Arena Preference and Task Success Rate ➤ Speech Agent Arena: #8 of 30 on preference (Elo 1012) and #4 on Task Success Rate (92.3%) ➤ Tau Voice: #1 at 79.9%, a clear lead of 5.4 points over the next model ➤ Big Bench Audio: #3 at 98.9%, behind StepAudio 3 Realtime (99.7%) and Qwen Audio 3.0 Realtime Plus (99.2%) ➤ Speed: #4 on Time to First Audio at 0.61s, and the fastest of the top 5 models in the Index ➤ Cost: $4.20 per hour of input audio Congrats to the @phonic_co team 🚀 See below for more detail ⬇️

Fish Audio Drama 3 is the #1 open weights model on both Artificial Analysis Speech Arenas, and #1 of all models on Pronunciation Robustness @FishAudio has released Drama 3. We evaluated it across both Speech Arenas and our Pronunciation Robustness benchmark. Key takeaways: ➤ Text to Speech, Provider Voice: Drama 3 scores an Elo of 1,278 across 1,512 arena appearances, ranking #6 overall and #1 among open weights models, 38 points clear of its own Drama 3 Preview at 1,240 and 50 ahead of BreezeBlue's Breeze TTS 2 at 1,228 ➤ Text to Speech, Controlled Voice: Drama 3 scores 1,085 across 1,958 appearances, ranking #12 overall and #1 among open weights models, ahead of Ant Group's Ming-3.0-tts at 1,068 and its own Preview at 1,063 ➤ Pronunciation Robustness: Drama 3 scores 94.6% across 2,157 rated spans, ranking #1, ahead of Ming-3.0-tts and Drama 3 Preview, both at 93.2% ➤ Speed: Drama 3 generates 66.6 characters per second, ahead of its own Drama 3 Preview at 60.7 and Murf's Speech Gen 2 at 63.0, and behind ElevenLabs' Eleven v4 at 70.0 and v3 Conversational at 66.8 ➤ Pricing: Drama 3 is priced at $15/1M characters. Every model ranked above it on Provider Voice costs more: Gemini 3.8 Flash TTS at $16.5/1M, Qwen-Audio-3.1-TTS-Plus at $19.3/1M, Eleven v4 Turbo at $40/1M, Sonic 3.6 at $49/1M and Eleven v4 at $80/1M ➤ Open weights: released under the Fish Audio Community License. See more details and listen to samples below ⬇️