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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-6.1 SolOpenAIRemove
  2. Gemma 4 31B (Free)GoogleRemove
  3. Transcribe 1 ProFish AudioRemove
gpt-6.1-sol vs gemma-4-31b-it:free vs transcribe-1-pro
AttributeGPT-6.1 Solgpt-6.1-solGemma 4 31B (Free)gemma-4-31b-it:freeTranscribe 1 Protranscribe-1-pro
Pricing
Input$2.00 / 1M$0 / 1M— Not priced per input token
Output$10.00 / 1M$0 / 1M— Not priced per output token
Cache Write (5m)$2.00 / 1M—Not applicable
Cache Write (1h)$2.00 / 1M—Not applicable
Cache Read$2.00 / 1M$0 / 1MNot applicable
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M262.1KN/A
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderOpenAIGoogleFish Audio
Categorychatchatvoice
Charge typePay As You GoFreePay As You Go
Released——2026-09-24
Description
SummaryGPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model, supporting text and image inputs with text outputs. It features a 256K token context window, configurable thinking/reasoning modes, native function calling, and broad multilingual support across 140+ languages. The model delivers strong performance in coding, reasoning, and document understanding, making it well suited for developer workflows, multilingual applications, and structured knowledge tasks.Fish Audio Transcribe 1 Pro speech-to-text with speaker labels; transcripts include speaker tags such as <|speaker:0|>. Billed per second of audio.