Ling 3.0 Flash Santé
- Release
- 2026-09-04
- Output (from)
- Free
Last refreshed 2026-09-07. Next refresh: weekly.
Best LLMs for text classification, routing, and moderation in 2026. Covers extraction, safety labeling, and structured output tasks.
Verdict
GLM-5.3 is the runner-up: 2026-09-04 vs 2026-08-14 on Release.
Classification picks take the strongest score across MMLU-Pro, MMLU, and lighter classification benchmarks, then recency.
| # | Model | Input $/1M | Output $/1M | |
|---|---|---|---|---|
| 1 | Gemini 3.1 Pro Preview PreviewVisionTools Signal used: MMLU 98% | $2.00 | $12.00 | |
| 2 | Llama 3.1 405B Signal used: HellaSwag 95.8% | — | — | |
| 3 | DeepSeek V3 Tools Signal used: HellaSwag 95.7% | $0.10 | $0.28 | |
| 4 | Qwen2.5-72B-Instruct Signal used: HellaSwag 95.6% | $0.18 | $0.28 | |
| 5 | Llama 3.1 70B Instruct Signal used: HellaSwag 94.2% | $0.40 | $0.40 | |
| 6 | Mistral Large 2 VisionTools Signal used: HellaSwag 93.8% | $0.48 | $2.40 | |
| 7 | Mixtral 8x22B v0.1 Signal used: HellaSwag 93.8% | $0.65 | $0.65 | |
| 8 | Falcon 180B Signal used: HellaSwag 92.7% | — | — | |
| 9 | Gemma 2 27B Signal used: HellaSwag 92.6% | $0.08 | $0.24 | |
| 10 | GPT-5.5 ReasoningVisionTools Signal used: MMLU 92.4% | $5.00 | $30.00 | |
| 11 | Llama 3 70B Signal used: HellaSwag 92.4% | $0.65 | $2.75 | |
| 12 | Qwen2-7B Signal used: HellaSwag 92% | $0.05 | $0.15 | |
| 13 | Gemini 3 Pro VisionTools Signal used: MMLU-Pro 91.8% | $1.25 | $5.00 | |
| 14 | Mistral NeMo Instruct (2407) Signal used: HellaSwag 91.8% | $0.02 | $0.04 | |
| 15 | DeepSeek Coder V2 Lite Signal used: HellaSwag 91.4% | $0.50 | $0.50 | |
| 16 | Claude Opus 4.6 ReasoningVisionTools Signal used: MMLU 91.1% | $5.00 | $25.00 | |
| 17 | Llama 3 8B Instruct Signal used: HellaSwag 91.1% | $0.02 | $0.04 | |
| 18 | Mixtral 8x7B Signal used: HellaSwag 90.9% | $0.15 | $0.20 | |
| 19 | Phi-3 Small 128K Signal used: HellaSwag 90.8% | $0.35 | $1.05 | |
| 20 | Mistral 7B Instruct v0.3 Tools Signal used: HellaSwag 90.2% | $0.20 | $0.20 |
Amazon Titan Text Premier is a sophisticated large language model tailored for enterprise-level text generation, part of the Amazon Titan family accessible exclusively through Amazon Bedrock. It boasts an impressive context length of up to 32,000 tokens, ideal for complex English language tasks. The model integrates seamlessly with Amazon Bedrock Agents and Knowledge Bases, supporting functionalities like text and code generation, summarization, and conversational AI. It excels in retrieval-augmented generation, enhancing responses by utilizing external knowledge bases. Users can fine-tune the model to fit unique organizational needs, with safeguards to detect harmful content and protections against copyright claims when used responsibly.
2024-05-07
Release
Amazon Titan Text G1 - Express is Amazon's Titan model. It offers an 8K-token context window.
2024-05-07
Release
Amazon Titan Text G1 - Lite is Amazon's Titan model. It was released 2024-05-07.
2024-05-07
Release