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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. Gemma 4 26B A4B (Free)GoogleRemove
  2. Kimi K3.1 ProMoonShot AIRemove
  3. Muse Spark OpenMetaRemove
gemma-4-26b-a4b-it:free vs kimi-k3.1-pro vs muse-spark-open
AttributeGemma 4 26B A4B (Free)gemma-4-26b-a4b-it:freeKimi K3.1 Prokimi-k3.1-proMuse Spark Openmuse-spark-open
Pricing
Input$0 / 1M$2.00 / 1M$1.25 / 1M
Output$0 / 1M$10.00 / 1M$4.25 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$2.00 / 1M$1.25 / 1M
Cache Write (5m)—$2.00 / 1M$1.25 / 1M
Cache Write (1h)—$2.00 / 1M$1.25 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context262.1K1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderGoogleMoonShot AIMeta
Categorychatchatchat
Charge typeFreePay As You GoPay As You Go
Released———
Description
SummaryGemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind, featuring 25.2B total parameters with only 3.8B activated per token—delivering near 31B-class quality at a fraction of the compute cost. It supports multimodal inputs including text, images, and video (up to 60s at 1fps). The model includes a 256K token context window, native function calling, configurable thinking/reasoning modes, and structured output support. Released under the Apache 2.0 license, it is well suited for efficient, production-ready multimodal and agentic applications.Kimi K3.1 Pro is Moonshot AI's flagship open-weight multimodal reasoning model, building on Kimi K3 with enhanced post-training for advanced reasoning and autonomous task execution. It features a 1M-token context window and native image and video understanding, enabling complex, long-context multimodal workflows. Optimized for long-horizon coding, 3D creation, financial research, and end-to-end agentic knowledge work, Kimi K3.1 Pro is well suited for autonomous software engineering, multimodal analysis, and complex professional workflows that require sustained reasoning and reliable execution.Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.