LLM Reference

Dolphin 2.7 Mixtral 8x7B

Released
2023-12-18
Last refreshed
2026-05-19
Status
Researched 106d ago
Open sourceCommercial use: permittedCodingClassification

Dolphin 2.7 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
Specifications
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
Created by

Uncensored AI models for open access

N/A
Founded N/A
Website
Pricing

No tracked provider token pricing is available yet.

About

Dolphin 2.7 Mixtral 8x7B is Cognitive Computations' Dolphin model. It scores 61.2 on the HumanEval benchmark.

Top use-case fit: coding, agents, and build tasks

Coding

1 relevant benchmark in the decision map.

Classification

1 relevant benchmark in the decision map.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

Benchmark scores(2)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
HumanEval61.2pass@1Observed 2026-03-06Source
Massive Multitask Language Understanding72.15-shotObserved 2026-03-06Source

Migration checks

No linked migration route is available for this model yet.