Datasets:
License:
| { | |
| "dataset": "benchmarks-llm", | |
| "version": "1.0.0", | |
| "updated": "2026-08-12", | |
| "sources": [ | |
| "https://api-docs.deepseek.com/updates/", | |
| "https://api-docs.deepseek.com/quick_start/pricing/", | |
| "https://artificialanalysis.ai/models/comparisons/deepseek-v4-flash-vs-mistral-medium-3-5", | |
| "https://artificialanalysis.ai/models/mistral-large-3", | |
| "https://benchlm.ai/best/mistral-models", | |
| "https://mistral.ai/pricing/", | |
| "https://developer.nvidia.com/blog/nvidia-nemotron-3-5-lightning-delivers-fast-accurate-specialized-task-execution-for-long-running-agents/", | |
| "https://openrouter.ai/nvidia/nemotron-3.5-lightning:free", | |
| "Rapport interne titoune33 (11-12/08/2026)" | |
| ], | |
| "license": "CC BY 4.0 (données factuelles ; rapports internes titoune33)", | |
| "models": [ | |
| { | |
| "id": "deepseek-v4-flash-0731", | |
| "vendor": "DeepSeek", | |
| "release_date": "2026-07-31", | |
| "architecture": "MoE", | |
| "params_total_b": 284, | |
| "params_active_b": 13, | |
| "context_tokens": 1000000, | |
| "input_image": false, | |
| "open_weights": true, | |
| "license": "MIT", | |
| "price_input_usd_per_mtok": 0.14, | |
| "price_output_usd_per_mtok": 0.28, | |
| "price_cache_hit_usd_per_mtok": 0.0028, | |
| "intelligence_aa_index": 52, | |
| "speed_output_tok_per_s": 131, | |
| "time_to_first_token_s": 1.44, | |
| "agent_benchmarks": { | |
| "terminal_bench_2_1": 82.7, | |
| "nl2repo": 54.2, | |
| "cybergym": 76.7, | |
| "deepswe": 54.4, | |
| "toolathlon": 70.3, | |
| "agent_last_exam": 25.2, | |
| "automation_bench": 25.1 | |
| }, | |
| "notes": "Release officielle remplaçant la preview d'avril 2026. DeepSeek-V4-Pro annoncé." | |
| }, | |
| { | |
| "id": "mistral-large-3", | |
| "vendor": "Mistral", | |
| "release_date": "2025-12-01", | |
| "architecture": "MoE", | |
| "params_total_b": 675, | |
| "params_active_b": 41, | |
| "context_tokens": 262000, | |
| "input_image": true, | |
| "open_weights": false, | |
| "license": "proprietary", | |
| "price_input_usd_per_mtok": 0.5, | |
| "price_output_usd_per_mtok": 1.5, | |
| "benchalign_v5": 49.4, | |
| "benchalign_multimodal": 67, | |
| "benchalign_math": 65, | |
| "intelligence_aa_index": 16, | |
| "notes": "Index AA mesuré déc. 2025 sur une version antérieure de l'index. Fort en prose française (réputation)." | |
| }, | |
| { | |
| "id": "mistral-medium-3-5", | |
| "vendor": "Mistral", | |
| "release_date": "2026-04-01", | |
| "architecture": "MoE", | |
| "params_total_b": 128, | |
| "context_tokens": 256000, | |
| "input_image": true, | |
| "open_weights": true, | |
| "license": "modified-open", | |
| "price_input_usd_per_mtok": 1.16, | |
| "price_output_usd_per_mtok": 1.16, | |
| "intelligence_aa_index": 30, | |
| "speed_output_tok_per_s": 147, | |
| "notes": "Modèle par défaut de Vibe (ex-Le Chat). ~20x plus cher que DeepSeek V4 Flash." | |
| }, | |
| { | |
| "id": "mistral-small-4", | |
| "vendor": "Mistral", | |
| "release_date": "2026-01-01", | |
| "architecture": null, | |
| "context_tokens": 256000, | |
| "intelligence_aa_index": 20, | |
| "notes": "Modèle d'entrée de gamme." | |
| }, | |
| { | |
| "id": "nvidia-nemotron-3-5-lightning", | |
| "vendor": "NVIDIA", | |
| "release_date": "2026-08-11", | |
| "architecture": "MoE", | |
| "params_total_b": 30, | |
| "params_active_b": 3, | |
| "context_tokens": 1000000, | |
| "max_output_tokens": 64000, | |
| "intelligence_aa_index": 24, | |
| "price_input_usd_per_mtok": 0.05, | |
| "price_output_usd_per_mtok": 0.20, | |
| "pinchbench_accuracy_pct": 86, | |
| "notes": "Modèle d'exécution pour agents longue durée. Local : DGX Spark, RTX 5090, Jetson, llama.cpp. Gratuit sur OpenRouter (:free, ~20 RPM / 200 req/jour). Recommandé comme sous-agent d'un modèle frontalier." | |
| }, | |
| { | |
| "id": "mimo-v2-5", | |
| "vendor": "Xiaomi", | |
| "release_date": "2026-04-22", | |
| "architecture": "MoE", | |
| "params_total_b": 310, | |
| "params_active_b": 15, | |
| "context_tokens": 1000000, | |
| "input_image": true, | |
| "input_video": true, | |
| "input_audio": true, | |
| "reasoning": true, | |
| "open_weights": true, | |
| "license": "MIT", | |
| "price_input_usd_per_mtok": 0.14, | |
| "price_output_usd_per_mtok": 0.28, | |
| "price_cache_hit_usd_per_mtok": 0.0028, | |
| "price_avg_usd_per_mtok": 0.06, | |
| "free_openrouter": true, | |
| "intelligence_aa_index": 38, | |
| "speed_output_tok_per_s": 80, | |
| "time_to_first_token_s": 2.84, | |
| "response_500_tokens_s": 9, | |
| "agent_benchmarks": { | |
| "swe_bench_verified": 71.0, | |
| "swe_bench_pro": 56.1, | |
| "terminal_bench_2_1": 60.7, | |
| "claweval_pass3_pct": 64.0, | |
| "gpqa_diamond_rank": "57/130", | |
| "mmlu_pro_rank": "69/130", | |
| "livecodebench_rank": "55/135", | |
| "mmmu_rank": "40/88" | |
| }, | |
| "benchlm_public_score": 58.3, | |
| "benchlm_rank": 74, | |
| "vals_index_pct": 51.6, | |
| "notes": "Multimodal natif (texte, image, vidéo, audio). Écosystème Xiaomi (MiMo Code, Claw). Verdict rapport : DeepSeek pour texte/codage, MiMo pour multimodal." | |
| } | |
| ] | |
| } | |