LLM Reference

OpenHermes 2.5 Mistral 7B

Released
2023-12-15
Last refreshed
2026-06-15
Status
Researched 90d ago
Open sourceCommercial use: permittedCodingClassification

OpenHermes 2.5 Mistral 7B is worth evaluating for coding and classification when its provider route and context window match the workload.

Use it for

  • Teams evaluating coding and classification
  • Workloads that can use a 32k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2023-12-15
Context
32k
Parameters
7B
Architecture
Decoder Only
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

Steerable AI models for open-source innovation

N/A
Founded N/A
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 2 routes · Fireworks AI

About

OpenHermes 2.5 Mistral 7B is an advanced large language model developed by Teknium, building on the previous version, OpenHermes 2. Utilizing a transformer architecture, it's fine-tuned on over one million entries, combining code and non-code data, primarily composed of GPT-4 generated text. This enhances its human-like response capabilities across diverse contexts. It excels in conversational AI with its multi-turn dialogue support through the ChatML format, significantly improves in code generation tasks with a high HumanEval score, and performs robustly on benchmarks like GPT4All and AGIEval. Additionally, it offers various quantization options for optimized hardware performance and is adept at real-time data processing, making it ideal for customer service and immediate data analysis applications.

OpenHermes 2.5 Mistral 7B is an open-source model in the OpenHermes 2 family. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Together AI and Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 38.6, HellaSwag 86.0, and HumanEval 54.8.

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

Coding

Q/$ B

1 relevant benchmark in the decision map.

Classification

Q/$ B

2 relevant benchmarks in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.200$0.200
Provisioned
Together AI$0.200$0.200
Serverless

Available via routers & gateways(1)

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

Benchmark scores(4)

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
Google-Proof Q&A38.6diamondObserved 2026-03-06Source
HellaSwag86.010-shotObserved 2026-03-06Source
HumanEval54.8pass@1Observed 2026-03-06Source
Massive Multitask Language Understanding63.55-shotObserved 2026-03-06Source

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of OpenHermes 2.5 Mistral 7B?

OpenHermes 2.5 Mistral 7B has a context window of 32k tokens.

How much does OpenHermes 2.5 Mistral 7B cost?

OpenHermes 2.5 Mistral 7B pricing ranges from $0.2/1M to $0.20/1M input tokens depending on the provider.

When was OpenHermes 2.5 Mistral 7B released?

OpenHermes 2.5 Mistral 7B was released on 2023-12-15.

Which providers offer OpenHermes 2.5 Mistral 7B?

OpenHermes 2.5 Mistral 7B is available from 2 providers: Together AI, Fireworks AI.

What benchmarks has OpenHermes 2.5 Mistral 7B been tested on?

OpenHermes 2.5 Mistral 7B has been evaluated on 4 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding.