Codesota · Models1,357 models indexed · 842 match filter
Editorial · Models
Every model, measured.
Start with a research area, drill into a vendor, or page through the full index. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.
Vendor:Areas overviewspeakleash · 253OpenAI · 85Google · 71Qwen · 52Alibaba · 47Anthropic · 44Microsoft · 35Meta · 30Mistral · 30DeepSeek · 28google · 19meta-llama · 19mistralai · 19Meta AI · 15CYFRAGOVPL · 14Zhipu AI · 13NVIDIA · 10SpeakLeash · 10internlm · 10xAI · 10ByteDance · 9Baidu · 8PLLuM · 8ibm-granite · 8microsoft · 8Amazon · 7Google DeepMind · 7MiniMax · 7Mistral AI · 7Remek · 7Shanghai AI Lab · 7allenai · 7utter-project · 7CohereForAI · 6Microsoft Research · 6Salesforce · 601-ai · 5Alibaba Cloud · 5Cohere · 5Moonshot AI · 5NousResearch · 5THUML · 5deepseek-ai · 5DeepMind · 4Facebook AI · 4IBM · 4Meituan · 4Stanford · 4THUDM · 4UC San Diego · 4VikParuchuri · 4gguf-iq · 4nvidia · 4openchat · 4tiiuae · 4Allen AI · 3BAAI · 3Du et al. · 3ForgeCode · 3Fudan University · 3IDEA Research · 3Liao et al. · 3Moonshot.AI · 3Nam Tuan Ly / NII · 3OPI-PG · 3OpenDataLab · 3ViCoS Lab Ljubljana · 3Xiaomi · 3Zhao et al. · 3gguf · 3gguf11bv30 · 3gguf7bv30 · 3upstage · 3+ 247 smaller vendors (291 models)
§ 01 · Natural Language Processing models
842 models in Natural Language Processing · page 6 of 17.
| # | Model | Vendor | Parameters | Architecture | SOTA | Benchmarks | Results |
|---|---|---|---|---|---|---|---|
| 251 | Mistral-Nemo-Instruct-2407-PL-finetuned | Remek | — | — | 1 | 11 | |
| 252 | Mistral-Small-24B-Base-2501 | mistralai | — | — | 1 | 11 | |
| 253 | Mixtral-8x22B-v0.1 | mistralai | — | — | 1 | 11 | |
| 254 | Mixtral-8x7B-v0.1 | mistralai | — | — | 1 | 11 | |
| 255 | OLMo-2-1124-13B | allenai | — | — | 1 | 11 | |
| 256 | OLMo-2-1124-13B-Instruct | allenai | — | — | 1 | 11 | |
| 257 | OLMo-2-1124-7B | allenai | — | — | 1 | 11 | |
| 258 | OLMo-2-1124-7B-Instruct | allenai | — | — | 1 | 11 | |
| 259 | Phi-3-small-8k-instruct | microsoft | — | — | 1 | 11 | |
| 260 | Phi-3.5-MoE-instruct | microsoft | — | — | 1 | 11 | |
| 261 | Qra-13B-chat | TeeZee | — | — | 1 | 11 | |
| 262 | Qra-1b | OPI-PG | — | — | 1 | 11 | |
| 263 | QwQ-32B | Qwen | — | — | 1 | 11 | |
| 264 | QwQ-32B-Preview | Qwen | — | — | 1 | 11 | |
| 265 | Qwen1.5-14B-Chat | Qwen | — | — | 2 | 11 | |
| 266 | Qwen2-1.5B | Qwen | — | — | 1 | 11 | |
| 267 | Qwen2.5-0.5B | Qwen | — | — | 1 | 11 | |
| 268 | Qwen2.5-1.5B | Qwen | — | — | 1 | 11 | |
| 269 | Qwen2.5-14B | Qwen | — | — | 1 | 11 | |
| 270 | Qwen2.5-7B | Qwen | — | — | 1 | 11 | |
| 271 | Qwen3-0.6B | Qwen | — | — | 1 | 11 | |
| 272 | Qwen3-1.7B | Qwen | — | — | 1 | 11 | |
| 273 | Qwen3-14B | Qwen | — | — | 1 | 11 | |
| 274 | Qwen3-32B | Qwen | — | — | 1 | 11 | |
| 275 | Qwen3-4B | Qwen | — | — | 1 | 11 | |
| 276 | Qwen3-8B | Qwen | — | — | 1 | 11 | |
| 277 | Teuken-7B-instruct-commercial-v0.4 | openGPT-X | — | — | 1 | 11 | |
| 278 | Teuken-7B-instruct-research-v0.4 | openGPT-X | — | — | 1 | 11 | |
| 279 | TildeOpen-30b | TildeAI | — | — | 1 | 11 | |
| 280 | WizardLM-2-7B | dreamgen | — | — | 1 | 11 | |
| 281 | Yi-1.5-6B | 01-ai | — | — | 1 | 11 | |
| 282 | Yi-1.5-9B | 01-ai | — | — | 1 | 11 | |
| 283 | aya-101 | CohereLabs | — | — | 1 | 11 | |
| 284 | aya-expanse-32b | CohereForAI | — | — | 1 | 11 | |
| 285 | aya-expanse-8b | CohereForAI | — | — | 1 | 11 | |
| 286 | bielik-1.5-M | speakleash | — | — | 1 | 11 | |
| 287 | bielik-4.5-13000-orpo-fc-inst-a | speakleash | — | — | 1 | 11 | |
| 288 | bielikf | djstrong | — | — | 1 | 11 | |
| 289 | c4ai-command-r7b-12-2024 | CohereForAI | — | — | 1 | 11 | |
| 290 | cogito-v1-preview-qwen-14B | deepcogito | — | — | 1 | 11 | |
| 291 | deepseek-ai/DeepSeek-V3-0324 (API) | deepseek-ai | 685B | — | 3 | 11 | |
| 292 | gemma-2-27b-it | — | — | 1 | 11 | ||
| 293 | gemma-2-9b-it | — | — | 1 | 11 | ||
| 294 | gemma-3-12b-it | — | — | 1 | 11 | ||
| 295 | gemma-3-1b-it | — | — | 1 | 11 | ||
| 296 | gemma-3-27b-pt | — | — | 1 | 11 | ||
| 297 | gemma-3-4b-it | — | — | 1 | 11 | ||
| 298 | gemma-3-4b-pt | — | — | 1 | 11 | ||
| 299 | gemma-3n-E2B | — | — | 1 | 11 | ||
| 300 | gemma-3n-E2B-it | — | — | 1 | 11 |