Qwen2.5-7B-Instruct
Qwen2.5-7B-Instruct is worth evaluating for coding, rag, and long context when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and long context
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- Vision or document-understanding workloads
- Family
- Qwen2.5
- Released
- 2024-06-07
- Context
- 128k
- Parameters
- 7.61B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
- Fine-tuning
- instruct
Cheapest of 7 routes · DeepInfra
About
Instruction-tuned 7B variant combining strong reasoning with real-time inference on single GPUs, ideal for developer tools and vision applications.
Qwen2.5-7B-Instruct is a model in the Qwen2.5 family. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through DeepInfra, OpenRouter, Fireworks AI, and 4 more, with the cheapest tracked route listed at $0.03 input and $0.03 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 45.2, HellaSwag 89.3, and HumanEval 68.4.
Top use-case fit: coding, agents, and build tasks
Coding
Q/$ A1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 7Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| DeepInfra | $0.030 | $0.030 | Serverless |
| SiliconFlow | $0.040 | $0.040 | Serverless |
| Novita AI | $0.070 | $0.070 | Serverless |
| OpenRouter | $0.040 | $0.100 | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 45.2 | diamond | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HellaSwag | 89.3 | 10-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| HumanEval | 68.4 | pass@1 | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
| Massive Multitask Language Understanding | 81.2 | 5-shot | https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard |
Migration checks
No linked migration route is available for this model yet.