0 providers50 models

Model crosswalk

Side-by-side on price, capability and workload — three-way comparison.

Mistral Small 3
vs
Solar Pro 22B
vs
Yi 1.5 34B Chat
Mistral Small 3A

Mistral Small 3

24B params · 33K context · apache-2.0

Cheapest provideropenrouter
$/1M input$100000.00
$/1M output$300000.00
Solar Pro 22BB

Solar Pro 22B

22B params · 4K context · cc-by-4.0

Cheapest provider
$/1M input
$/1M output
Yi 1.5 34B ChatC

Yi 1.5 34B Chat

34B params · 4K context · apache-2.0

Cheapest provider
$/1M input
$/1M output
Specs and cheapest providers
SpecMistral Small 3Solar Pro 22BYi 1.5 34B Chat
Parameters24B22B34B
Context window33K tokens🏆4K tokens4K tokens
Licenseapache-2.0cc-by-4.0apache-2.0
Released2025-01-302024-10-102024-05-13
Cheapest provider
Provideropenrouter
Input / 1M tokens$100000.00
Output / 1M tokens$300000.00
Benchmark comparison

No benchmark data available yet.

Editor's take
Three compact models from labs outside the top-tier American AI ecosystem, each reflecting a different commercial strategy. Mistral Small 3 is Mistral AI's January 2025 small-model release, sitting in the sub-25B range with a 32K context window and Mistral's Apache 2.0 license — notably more permissive than Mistral Large 2's Research License. It targets cost-sensitive production tasks where Mistral's instruction-tuning quality matters but the 123B scale is unnecessary. Function calling and JSON mode carry over from the larger models. For European teams that want Mistral's multilingual quality at reduced inference cost, this is the practical entry point. Solar Pro 22B is Upstage's October 2024 release, a 22B dense model designed explicitly for single-GPU deployment fitting on one A100 or H100 under int8 quantization. That engineering choice reflects a specific customer profile: teams that process mixed Korean-English enterprise documents without multi-GPU overhead. The CC-BY-4.0 license is unusually permissive at this scale — attribution only, no share-alike, no commercial restrictions. The 4K context window is a real deployment constraint, and Upstage's provider coverage remains limited compared to Mistral or Meta alternatives. Yi 1.5 34B Chat from 01.AI is a May 2024 34B bilingual model under Apache 2.0, covering English and Chinese with benchmark scores that held up reasonably at release. The 4K context ceiling matches Solar Pro's constraint and rules out both models from most RAG architectures without tight chunking strategies. As of mid-2026, Qwen 2.5 and DeepSeek V2 have moved past Yi 1.5 34B on bilingual Chinese quality, but Apache licensing with no commercial restrictions keeps it relevant for specific use cases. Pick Mistral Small 3 for European multilingual workloads where Apache 2.0 freedom and Mistral's instruction quality are the priorities. Pick Solar Pro 22B for Korean-English bilingual enterprise document processing on a single GPU. Pick Yi 1.5 34B Chat where Apache-licensed Chinese-English bilingual support is required and 4K context is acceptable.
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Frequently asked questions
How does Mistral Small 3 compare to Solar Pro 22B and Yi 1.5 34B Chat on price?
Use the table above to compare input and output prices per 1M tokens across the cheapest available providers for each model.
Which model is best for coding: Mistral Small 3, Solar Pro 22B, or Yi 1.5 34B Chat?
HumanEval and other code benchmarks are shown in the table. For production code tasks, also consider context window size and provider latency.
What is the context window for Mistral Small 3, Solar Pro 22B, and Yi 1.5 34B Chat?
Context window sizes are listed in the Specs row of the comparison table above.
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