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Model Season every model has a seasonRadar
Radar · Sep 20, 2026

DeepSeek V4.1 Flash took the lead in traffic

19 itemsRSS
Price · DeepSeek

DeepSeek V4 Flash 0731 got 33% cheaper

From $0.075 to $0.050 per 1M tokens, blended. Input $0.060 → $0.040, output $0.120 → $0.080. New price since Sep 19.

What the data says. The model has 8.46% of traffic over the last 7 days, ranked 5th. DeepSeek has 20.2% of tokens and 3.5% of estimated spend this week. The lab's most used model is DeepSeek V4.1 Flash, with 11.36% at $0.26 per 1M, and this one costs 5.3 times less.

See DeepSeek V4 Flash 0731 on Model Season →
Price · OpenAI

GPT Transcribe got 98% cheaper

From $3375.00 to $56.25 per 1M tokens, blended. Input $4500.00 → $75.00, output $0.0000 → $0.0000. New price since Sep 19.

What the data says. OpenAI has 18.6% of tokens and 27.2% of estimated spend this week. The lab's most used model is GPT-5.6 Luna, with 9.69% at $0.45 per 1M, and this one costs 125 times more.

Price · OpenAI

Whisper 1 got 98% cheaper

From $4500.00 to $75.00 per 1M tokens, blended. Input $6000.00 → $100.00, output $0.0000 → $0.0000. New price since Sep 19.

What the data says. OpenAI has 18.6% of tokens and 27.2% of estimated spend this week. The lab's most used model is GPT-5.6 Luna, with 9.69% at $0.45 per 1M, and this one costs 167 times more.

Price · Google

Chirp 3 got 98% cheaper

From $12000.00 to $200.00 per 1M tokens, blended. Input $16000.00 → $266.67, output $0.0000 → $0.0000. New price since Sep 19.

What the data says. Google has 5.5% of tokens and 6.0% of estimated spend this week. The lab's most used model is Gemini 3.8 Flash, with 1.67% at $1.50 per 1M, and this one costs 133 times more.

Other changes

  • PriceParakeet TDT 0.6B v3 got 98% cheaper. From $1125.00 to $18.75 per 1M tokens, blended. Input $1500.00 → $25.00, output $0.0000 → $0.0000. New price since Sep 19.
  • PriceMuse Voice Transcribe 1.0 got 100% cheaper. From $135000.00 to $37.50 per 1M tokens, blended. Input $180000.00 → $50.00, output $0.0000 → $0.0000. New price since Sep 19.
  • PriceNova-3 got 98% cheaper. From $3225.00 to $53.75 per 1M tokens, blended. Input $4300.00 → $71.67, output $0.0000 → $0.0000. New price since Sep 19.
  • PriceVoxtral Mini Transcribe got 98% cheaper. From $2250.00 to $37.50 per 1M tokens, blended. Input $3000.00 → $50.00, output $0.0000 → $0.0000. New price since Sep 19.
  • PriceGrok STT 1.0 got 100% cheaper. From $75000.00 to $20.83 per 1M tokens, blended. Input $100000.00 → $27.78, output $0.0000 → $0.0000. New price since Sep 19.
  • DeprecationDeepSeek V3.2 is set to be deprecated on Sep 28, 2026. 8 days left. It is the first notice in the catalog. See model →
  • DeprecationERNIE 4.5 VL 424B A47B is set to be deprecated on Oct 8, 2026. 18 days left. It is the first notice in the catalog.
  • DeprecationR1 Distill Llama 70B is set to be deprecated on Sep 28, 2026. 8 days left. It is the first notice in the catalog. See model →
  • DeprecationDeepSeek V3.1 Terminus is set to be deprecated on Sep 28, 2026. 8 days left. It is the first notice in the catalog. See model →
  • DeprecationDeepSeek V3.2 Exp is set to be deprecated on Sep 28, 2026. 8 days left. It is the first notice in the catalog. See model →
  • DeprecationMiniMax M2.1 is set to be deprecated on Oct 8, 2026. 18 days left. It is the first notice in the catalog. See model →
  • PriceNemotron 3 Ultra got 16% cheaper. From $1.25 to $1.05 per 1M tokens, blended. Input $0.63 → $0.60, output $3.13 → $2.40. New price since Sep 19. See model →
  • PriceKimi K3 got 36% cheaper. From $5.31 to $3.40 per 1M tokens, blended. Input $2.65 → $1.70, output $13.28 → $8.50. New price since Sep 19. See model →
  • PriceQwen3 VL 30B A3B Instruct got 43% more expensive. From $0.23 to $0.33 per 1M tokens, blended. Input $0.13 → $0.20, output $0.52 → $0.70. New price since Sep 19. See model →

Catalog snapshot of Sep 20, 2026, compared with the previous ones since Sep 13, 2026. Traffic through Sep 19, 2026. Price is a 75% input and 25% output blend, and only becomes news when the new value holds for two snapshots. Order follows a fixed relevance formula that weighs the type of change and the model’s share.