ChatGPT ($20/mo) and OpenAI API (pay-as-you-go) can cost more than this free model. Switch if you need a permissive commercial license and local deployment.
Qwen 2.5 compared against all 20 large language models alternatives. Pricing, free plan availability, rating, and large language models-specific capabilities.
| Tool | Price | Free Plan | Rating |
|---|---|---|---|
 | Pay-as-you-go | - | |
 | $0.25/1M tokens | 4.7G2 | |
 | $7/mo | 4.7G2 | |
 | $20/mo | 4.7G2 | |
 | $0.11/1M tokens | 4.6G2 | |
 | $0.14/1M tokens | 4.6G2 | |
 | $20/mo | 4.6G2 | |
 | $9/mo | 4.6G2 | |
 | $0.0375/1M tokens | 4.5G2 | |
 | $5.99/mo | 4.5G2 | |
 | $0.1/1M tokens | 4.3G2 | |
 | $0.0375/1M tokens | 4.5G2 | |
 | $7.99/mo | 4.4G2 | |
 | $0.3/1M tokens | 4.2G2 | |
 | $7.99/mo | 4.3G2 | |
 | $5.99/mo | 4.3G2 | |
 | $30/mo | 4.2G2 | |
 | $0.14/1M tokens | 4.0G2 | |
 | Pay-as-you-go | - | |
 | $0.035/1M tokens | No | - |
 | $19/mo | - |
Independently verified metrics. Sources: LMSYS Chatbot Arena, HumanEval, artificial-analysis.com, vendor pricing pages. Verified 2026-05.
| Tool | Arena ELO | MMLU% | HumanEval% | TTFTms | Output TPStok/s | Context | Input $/1M$ | Output $/1M$ |
|---|---|---|---|---|---|---|---|---|
| Qwen 2.5 (this) | 1,261 | 86.1% | 87.2% | - | - | - | - | - |
| OpenAI API | 1,358 | 88.7% | 90.2% | 320 | 110 | 128K-200K | $2.5 | $10 |
| ChatGPT | - | - | - | - | - | - | - | - |
| Anthropic API (Claude) | 1,268 | 88.3% | 92% | - | - | - | - | - |
| Llama (Meta) | 1,190 | 83.6% | 72.6% | - | - | - | - | - |
| DeepSeek | 1,280 | 87.1% | 86.7% | - | - | - | - | - |
| Claude | - | - | - | - | - | - | - | - |
Alternatives are not always the right move. Qwen 2.5 remains strong in these scenarios.
After reviewing 20 competing LLM platforms, here's where each alternative outperforms Qwen 2.5 - and when staying makes sense.
Expert Take
Qwen 2.5 earns its keep when you want a capable model on your own hardware for standard code generation, multilingual work, and long-context RAG, and the coding variant in particular punches above its parameter count for the money. The friction shows up on the hard edges: esoteric algorithmic puzzles and heavily customized technical problems where open-weight models still trail the closed frontier, plus a model that can dig in and repeat a wrong fix across a debugging session. If your work lives at that difficulty, weigh it against the current Claude, whose Opus 4.8 holds long, strict instructions and complex code edits more reliably, or against Alibaba's own Qwen3.6 if you want this lab's latest rather than the proven 2.5 line.
Oleh KemFounder & Lead AnalystA unified developer API for accessing OpenAI's frontier models for text, vision, audio, and fine-tuning.. Rated 4.8/5 vs 4.5/5 for Qwen 2.5.
A versatile AI assistant for generating human-like text, code, and analysis from natural language prompts.. Rated 4.8/5 vs 4.5/5 for Qwen 2.5.
Anthropic's API providing access to Claude models with industry-leading safety, 200K context windows, and strong reasoni. Rated 4.8/5 vs 4.5/5 for Qwen 2.5.
An open-source foundation model for building, fine-tuning, and self-hosting custom generative AI applications.. Rated 4.7/5 vs 4.5/5 for Qwen 2.5.
An open-source LLM offering GPT-5 class reasoning and multilingual power at a fraction of the API cost.. Rated 4.7/5 vs 4.5/5 for Qwen 2.5.
An AI assistant for sophisticated dialogue, content creation, and complex reasoning with a focus on safety and long cont. Rated 4.7/5 vs 4.5/5 for Qwen 2.5.
The collaborative platform for building, training, and deploying state-of-the-art machine learning models.. Rated 4.7/5 vs 4.5/5 for Qwen 2.5.
An enterprise AI platform with production-ready LLMs, embeddings, and reranking for building advanced search and RAG app.
Showing 8 of 20 alternatives
Code generation, debugging, and IDE-integrated workflows
Large context windows for document analysis and retrieval-augmented generation
Open weights for privacy, fine-tuning, and on-premise deployment
Ultra-low latency inference for real-time apps and high-throughput workloads
Free plans or pay-per-use with minimal cost at moderate scale
| Source | What was checked | Last checked |
|---|---|---|
| Official Website | Official vendor website | — |
| Official Pricing Page | Source of verified tiers | July 8, 2026 |
Every fact on this Qwen 2.5 pricing page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.