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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 31BGoogleRemove
  3. Perceptron Mk1.5PerceptronRemove
gpt-6.1-sol vs gemma-4-31b-it vs perceptron-mk1.5
AttributeGPT-6.1 Solgpt-6.1-solGemma 4 31Bgemma-4-31b-itPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$2.00 / 1M$0.14 / 1M$0.15 / 1M
Output$10.00 / 1M$0.40 / 1M$1.50 / 1M
Cache Write (5m)$2.00 / 1M$0.14 / 1M$0.15 / 1M
Cache Write (1h)$2.00 / 1M$0.14 / 1M$0.15 / 1M
Cache Read$2.00 / 1M$0.14 / 1M$0.15 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M262.1K36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesNo
JSON ModeYesYesNo
StreamingYesYesYes
Catalogue
ProviderOpenAIGooglePerceptron
Categorychatchatchat
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.