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Editorial · Models
Every model, measured.
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§ 01 · Natural Language Processing models
790 models in Natural Language Processing · page 2 of 16.
| # | Model | Vendor | Parameters | Architecture | SOTA | Benchmarks | Results |
|---|---|---|---|---|---|---|---|
| 051 | Llama-3.3-70B-Instruct | meta-llama | 70.6B | — | 4 | 15 | |
| 052 | Bielik-11B-v2.0-Instruct | speakleash | 11.2B | — | 3 | 14 | |
| 053 | Bielik-11B-v2.1-Instruct | speakleash | 11.2B | — | 3 | 14 | |
| 054 | Bielik-11B-v2.2-Instruct | speakleash | 11.2B | — | 3 | 14 | |
| 055 | Bielik-11B-v2.3-Instruct | speakleash | 11.2B | — | 3 | 14 | |
| 056 | Bielik-11B-v2.6-Instruct | speakleash | 11.2B | — | 3 | 14 | |
| 057 | Bielik-11B-v3.0-Instruct | speakleash | 11.2B | — | 3 | 14 | |
| 058 | Bielik-7B-Instruct-v0.1 | speakleash | 7.24B | — | 3 | 14 | |
| 059 | Claude 3 Opus | Anthropic | — | — | 8 | 14 | |
| 060 | EuroLLM-9B-Instruct | utter-project | 9B | — | 3 | 14 | |
| 061 | GLM-5 | Zhipu AI | 130B | — | 4 | 14 | |
| 062 | Llama-3.2-1B-Instruct | meta-llama | 1.24B | — | 3 | 14 | |
| 063 | Llama-3.2-3B-Instruct | meta-llama | 3.21B | — | 3 | 14 | |
| 064 | Llama-4-Maverick | Meta | 400B total / 17B active (128 experts) | Mixture-of-Experts Transformer | 8 | 14 | |
| 065 | Meta-Llama-3-70B-Instruct | meta-llama | 70.6B | — | 3 | 14 | |
| 066 | Meta-Llama-3-8B-Instruct | meta-llama | 8.03B | — | 3 | 14 | |
| 067 | Meta-Llama-3.1-70B-Instruct | meta-llama | 70.6B | — | 3 | 14 | |
| 068 | Mistral-7B-Instruct-v0.3 | mistralai | 7.25B | — | 3 | 14 | |
| 069 | Mistral-Nemo-Instruct-2407 | mistralai | 12.2B | — | 3 | 14 | |
| 070 | Mistral-Small-24B-Instruct-2501 | mistralai | 23.6B | — | 3 | 14 | |
| 071 | Mixtral-8x22B-Instruct-v0.1 | mistralai | 141B | — | 3 | 14 | |
| 072 | Mixtral-8x7B-Instruct-v0.1 | mistralai | 46.7B | — | 3 | 14 | |
| 073 | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | nvidia | 32B | — | 3 | 14 | |
| 074 | Phi-4-mini-instruct | microsoft | 3.84B | — | 3 | 14 | |
| 075 | Qwen1.5-72B-Chat | Qwen | 72.3B | — | 3 | 14 | |
| 076 | Qwen2-72B-Instruct | Qwen | 72.7B | — | 3 | 14 | |
| 077 | Qwen2.5-1.5B-Instruct | Qwen | 1.54B | — | 3 | 14 | |
| 078 | Qwen2.5-32B-Instruct | Qwen | 32.8B | — | 3 | 14 | |
| 079 | Qwen2.5-3B-Instruct | Qwen | 3.09B | — | 3 | 14 | |
| 080 | Qwen2.5-7B-Instruct | Qwen | 7.62B | — | 3 | 14 | |
| 081 | SOLAR-10.7B-Instruct-v1.0 | upstage | 10.7B | — | 3 | 14 | |
| 082 | Starling-LM-7B-alpha | berkeley-nest | 7.24B | — | 3 | 14 | |
| 083 | WizardLM-2-8x22B | alpindale | 141B | — | 3 | 14 | |
| 084 | Yi-1.5-34B-Chat | 01-ai | 34.4B | — | 3 | 14 | |
| 085 | glm-4-9b-chat | THUDM | 9.4B | — | 3 | 14 | |
| 086 | internlm2-chat-20b | internlm | 19.9B | — | 3 | 14 | |
| 087 | openchat-3.5-0106 | openchat | 7.24B | — | 3 | 14 | |
| 088 | openchat-3.5-0106-gemma | openchat | 8.54B | — | 3 | 14 | |
| 089 | trurl-2-13b-academic | Voicelab | 13B | — | 3 | 14 | |
| 090 | Bielik-11B-v2.5-Instruct | speakleash | 11.2B | — | 3 | 13 | |
| 091 | Bielik-4.5B-v3.0-Instruct | speakleash | 4.8B | — | 3 | 13 | |
| 092 | EuroLLM-1.7B-Instruct | utter-project | 1.66B | — | 2 | 13 | |
| 093 | GPT-4 Turbo | OpenAI | Undisclosed | — | 6 | 13 | |
| 094 | Llama 3.1 405B | Meta | — | — | 12 | 13 | |
| 095 | Meta-Llama-3.1-8B-Instruct | meta-llama | 8.03B | — | 2 | 13 | |
| 096 | Phi-3.5-mini-instruct | microsoft | 3.82B | — | 2 | 13 | |
| 097 | gemma-2-2b-it | 2.61B | — | 2 | 13 | ||
| 098 | gemma-3-27b-it | 27.4B | — | 2 | 13 | ||
| 099 | granite-3.1-2b-instruct | ibm-granite | 2.53B | — | 2 | 13 | |
| 100 | phi-4 | microsoft | 14.7B | — | 3 | 13 |