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
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Available
- Code
- Unknown
- Training
- Fine-tuned
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 an open-source 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 |
Available via routers & gateways(2)
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
NVIDIA LLM Router Blueprint
RouterNVIDIA's open-source AI blueprint for LLM routing that selects the optimal model per prompt via intent classification or neural auto-routing; being deprecated 2026-06-20.
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Google-Proof Q&A | 45.2 | diamondObserved 2026-03-06 | — | Source |
| HellaSwag | 89.3 | 10-shotObserved 2026-03-06 | — | Source |
| HumanEval | 68.4 | pass@1Observed 2026-03-06 | — | Source |
| Massive Multitask Language Understanding | 81.2 | 5-shotObserved 2026-03-06 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Rankings & picks(2)
Compare Qwen2.5-7B-Instruct with other models
- Qwen2.5-7B-Instruct vs DeepSeek V3108
- Qwen2.5-7B-Instruct vs Llama 3 8B Instruct88
- Qwen2.5-7B-Instruct vs Claude Sonnet 4.562
- Qwen2.5-7B-Instruct vs DeepSeek R1 052853
- Qwen2.5-7B-Instruct vs Claude Sonnet 4.649
- Qwen2.5-7B-Instruct vs GPT-5.436
- Qwen2.5-7B-Instruct vs Claude Opus 4.629
- Qwen2.5-7B-Instruct vs DeepSeek R128
Comparison and alternatives
Browse all comparisons →Frequently asked questions
What is the context window of Qwen2.5-7B-Instruct?
Qwen2.5-7B-Instruct has a context window of 128k tokens.
How much does Qwen2.5-7B-Instruct cost?
Qwen2.5-7B-Instruct pricing ranges from $0.03/1M to $0.2/1M input tokens depending on the provider.
When was Qwen2.5-7B-Instruct released?
Qwen2.5-7B-Instruct was released on 2024-06-07.
Which providers offer Qwen2.5-7B-Instruct?
Qwen2.5-7B-Instruct is available from 7 providers: DeepInfra, OpenRouter, Fireworks AI, NVIDIA NIM, Together AI, SiliconFlow, Novita AI.
What benchmarks has Qwen2.5-7B-Instruct been tested on?
Qwen2.5-7B-Instruct has been evaluated on 4 benchmarks, including Google-Proof Q&A, HellaSwag, HumanEval, Massive Multitask Language Understanding.
Cheapest of 7 routes · DeepInfra