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qwenListed Jan 27

Qwen: Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

128K context72BImage inputStructured outputNo reported score
No reported score
$0.80in$1.00out/ 1M tokens · USDParasail · via OpenRouter · 3 endpointsparasail/fp8 · quantization=fp8
meta-llamaListed Jul 23

Meta: Llama 3.1 8B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to...

131.1K context8BTool callingStructured outputNo reported score
No reported score
$0.02in$0.04out/ 1M tokens · USDDeepInfra · via OpenRouter · 6 endpointsdeepinfra/fp8 · quantization=fp8
mistralaiListed Apr 17

Mistral: Mixtral 8x22B Instruct

Mistral's official instruct fine-tuned version of Mixtral 8x22B. It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...

65.5K contextTool callingStructured outputNo reported score
No reported score
$2.00in$6.00out/ 1M tokens · USDMistral · via OpenRouter · 4 endpointsmistral/zdr