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“performance”
Showing 49–58 of 58 for “performance”
- 0.592score
Saba
Mistral AI
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant…
ModelAFreshness: A$0.2 / $0.633K ctx - 0.589score
Gemini 2.5 Flash Lite
Google
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.
ModelAFreshness: A$0.1 / $0.41M ctx - 0.589score
Gemini 3.7 Flash
Google
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning.
ModelAFreshness: A$0.75 / $3.751M ctx - 0.587score
Llama 3.1 8B Instruct
Meta
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors.
ModelAFreshness: A$0.05 / $0.08131K ctxOpen weights - 0.587score
Mistral Small 3.1 24B
Mistral AI
Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities.
ModelAFreshness: A$0.351 / $0.555128K ctxOpen weights - 0.587score
Qwen3.5-27B
Qwen (Alibaba)
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed…
ModelAFreshness: A$0.27 / $2.16262K ctxOpen weights - 0.577score
Reka Edge
Reka Edge
Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs.
ModelAFreshness: A$0.1 / $0.116K ctxOpen weights - 0.547score
GPT-4.1 Nano
OpenAI
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series.
ModelAFreshness: A$0.1 / $0.41M ctx - 0.547score
GPT-5.4 Mini
OpenAI
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads.
ModelAFreshness: A$0.75 / $4.5400K ctx - 0.547score
o4 Mini High
OpenAI
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high.
ModelAFreshness: A$1.1 / $4.4200K ctx