Dolphin 2.5 Mixtral 8x7B
Dolphin 2.5 Mixtral 8x7B is a released coding and classification model with open-source; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating coding and classification
- Workloads that can use a 32k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Dolphin
- Released
- 2023-12-18
- Context
- 32k
- Parameters
- 8x7B
- Architecture
- Mixture of Experts
- Knowledge cutoff
- 2023-12
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider token pricing is available yet.
About
The Dolphin 2.5 Mixtral 8x7B is a sophisticated large language model designed primarily for coding tasks, known for its proficiency across diverse programming languages including Kotlin. It utilizes the Mixtral-8x7b architecture and has been fine-tuned on datasets like Dolphin-Coder and MagiCoder, employing qLoRA and Axolotl during training. Featuring a 16k context window for fine-tuning and a base context window of 32k, it offers powerful yet uncensored capabilities, allowing it to handle a wide range of prompts, albeit this introduces ethical considerations. The model is available in various formats on platforms like Hugging Face, catering to different needs with options such as GGUF and GPTQ quantization levels. Despite its strengths, users should be mindful of ethical sensitivities and implement alignment measures when deploying it publicly.
Dolphin 2.5 Mixtral 8x7B is an open-source model in the Dolphin family. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Together AI, with the cheapest tracked route listed at $0.6 input and $0.6 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 44.8, HellaSwag 89.0, and HumanEval 67.9.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
Classification
2 relevant benchmarks in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Google-Proof Q&A | 44.8 | diamondObserved 2026-03-06 | — | Source |
| HellaSwag | 89.0 | 10-shotObserved 2026-03-06 | — | Source |
| HumanEval | 67.9 | pass@1Observed 2026-03-06 | — | Source |
| Massive Multitask Language Understanding | 71.2 | 5-shotObserved 2026-03-06 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Frequently asked questions
What is the context window of Dolphin 2.5 Mixtral 8x7B?
Dolphin 2.5 Mixtral 8x7B has a context window of 32k tokens.
How much does Dolphin 2.5 Mixtral 8x7B cost?
Dolphin 2.5 Mixtral 8x7B is available at $0.6/1M input tokens through Together AI.
When was Dolphin 2.5 Mixtral 8x7B released?
Dolphin 2.5 Mixtral 8x7B was released on 2023-12-18.
Which providers offer Dolphin 2.5 Mixtral 8x7B?
Dolphin 2.5 Mixtral 8x7B is available from 1 provider: Together AI.
What benchmarks has Dolphin 2.5 Mixtral 8x7B been tested on?
Dolphin 2.5 Mixtral 8x7B has been evaluated on 4 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding.
No tracked provider token pricing is available yet.