Dolphin3.0 Mistral 24B

Text input Text output Free Option
Author's Description

Dolphin 3.0 is the next generation of the Dolphin series of instruct-tuned models. Designed to be the ultimate general purpose local model, enabling coding, math, agentic, function calling, and general use cases. Dolphin aims to be a general purpose instruct model, similar to the models behind ChatGPT, Claude, Gemini. Part of the [Dolphin 3.0 Collection](https://huggingface.co/collections/cognitivecomputations/dolphin-30-677ab47f73d7ff66743979a3) Curated and trained by [Eric Hartford](https://huggingface.co/ehartford), [Ben Gitter](https://huggingface.co/bigstorm), [BlouseJury](https://huggingface.co/BlouseJury) and [Cognitive Computations](https://huggingface.co/cognitivecomputations)

Key Specifications
Cost
$
Context
32K
Parameters
24B
Released
Feb 13, 2025
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Top Logprobs Logit Bias Logprobs Stop Seed Min P Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Performance Summary

Dolphin3.0 Mistral 24B, created by cognitivecomputations, demonstrates competitive response times, ranking in the 52nd percentile for speed across various benchmarks. A significant advantage is its consistently competitive pricing, placing it in the 89th percentile. The model also exhibits exceptional reliability, boasting a 97% success rate, indicating minimal technical failures and consistent evaluable responses. In terms of performance across categories, Dolphin3.0 shows a notable strength in Instruction Following, achieving perfect 100% accuracy in one benchmark, making it the most accurate among models of comparable speed. It also performs well in General Knowledge and Ethics, both scoring 97% accuracy. However, the model exhibits weaknesses in other areas. Its hallucination rate is relatively high at 86% accuracy, suggesting it struggles to appropriately acknowledge uncertainty. Furthermore, its performance in Reasoning (48% accuracy), Coding (63% accuracy), and Email Classification (93% accuracy) is in the lower percentiles, indicating areas for improvement. Another Instruction Following benchmark also showed a lower accuracy of 40.4%. Overall, Dolphin3.0 is a reliable and cost-effective option with strong instruction-following capabilities, but its performance in complex reasoning, coding, and hallucination mitigation could be enhanced.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.03
Completion $0.11

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Chutes
Chutes | cognitivecomputations/dolphin3.0-mistral-24b 32K $0.03 / 1M tokens $0.11 / 1M tokens
Chutes
Chutes | cognitivecomputations/dolphin3.0-mistral-24b 32K $0.03 / 1M tokens $0.11 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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