model stringlengths 2 17 | provider stringclasses 7
values | parameters_billions stringclasses 6
values | context_window stringclasses 5
values | training_cutoff stringclasses 7
values | input_cost_per_1m_usd float64 0.06 5 | output_cost_per_1m_usd float64 0.18 25 | pricing_note stringlengths 49 89 | open_source bool 2
classes | multimodal bool 2
classes | function_calling bool 2
classes | json_mode bool 2
classes | streaming bool 1
class | fine_tuning bool 2
classes | enterprise_ready bool 2
classes | mmlu_score float64 71.2 90.8 | humaneval_score float64 68 95.2 | math_score float64 53 97.3 | mt_bench_score float64 8.1 9.3 ⌀ | latency_ttft_ms stringlengths 6 11 | throughput_tps stringlengths 5 7 | best_for stringlengths 76 91 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
GPT-4.1 | OpenAI | Undisclosed | 1M | Jun 2024 | 2 | 8 | Pay-as-you-go API; prompt caching at $0.50/1M input | false | true | true | true | true | true | true | 86.5 | 90.2 | 80.4 | 9.2 | ~400ms | 80-190 | General-purpose enterprise AI, long-context tasks, tool use, code generation |
GPT-4.1 mini | OpenAI | Undisclosed | 1M | Jun 2024 | 0.4 | 1.6 | Pay-as-you-go API; prompt caching at $0.10/1M input | false | true | true | true | true | true | true | 83.5 | 87.5 | 72 | 8.8 | ~200ms | 120-180 | High-volume chatbots, classification, summarization, cost-sensitive production workloads |
o4-mini | OpenAI | Undisclosed | 200K | Jun 2024 | 1.1 | 4.4 | Reasoning model with extended thinking; cached input at $0.275/1M | false | true | true | true | true | false | true | 83.2 | 93.4 | 96.7 | null | ~2-10s | 30-60 | Complex reasoning, math, coding, visual tasks, cost-efficient reasoning workloads |
o3 | OpenAI | Undisclosed | 200K | Jun 2024 | 2 | 8 | Most powerful reasoning model; 80% price reduction since launch; cached input at $0.50/1M | false | true | true | true | true | false | true | 87.5 | 95.2 | 96.7 | null | ~3-15s | 20-50 | Hardest reasoning tasks, agentic workflows, science, mission-critical accuracy |
Claude Sonnet 4.5 | Anthropic | Undisclosed | 200K | Apr 2025 | 3 | 15 | Pay-as-you-go API; prompt caching available; 66% cheaper than previous gen | false | true | true | true | true | false | true | 89 | 93 | 78.5 | 9.2 | ~400ms | 70-90 | Complex reasoning, long-document analysis, code review, nuanced conversation |
Claude Haiku 4.5 | Anthropic | Undisclosed | 200K | Apr 2025 | 1 | 5 | Pay-as-you-go API; prompt caching available; extended thinking supported | false | true | true | true | true | false | true | 80 | 89.5 | 72 | 8.6 | ~200ms | 120-150 | Fast customer support, multi-agent systems, real-time classification, high-throughput tasks |
Claude Opus 4.5 | Anthropic | Undisclosed | 200K | Apr 2025 | 5 | 25 | Pay-as-you-go API; highest-capability Anthropic model | false | true | true | true | true | false | true | 89.5 | 91 | 76 | 9.3 | ~600ms | 40-60 | Mission-critical accuracy, nuanced analysis, complex writing, regulated industries |
Gemini 2.5 Pro | Google | Undisclosed | 1M | Jan 2025 | 1.25 | 10 | Pay-as-you-go API; tiered pricing above 200K context ($2.50/$15.00) | false | true | true | true | true | true | true | 87.2 | 84 | 78 | 9 | ~500ms | 60-80 | Long-context RAG, document processing, video/audio analysis, agentic applications |
Gemini 2.5 Flash | Google | Undisclosed | 1M | Jan 2025 | 0.3 | 2.5 | Pay-as-you-go API; free tier available; hybrid reasoning with thinking budgets | false | true | true | true | true | false | true | 83.6 | 82 | 73.1 | 8.6 | ~150ms | 150-200 | Cost-efficient production workloads, large context tasks, multimodal processing |
Llama 4 Scout | Meta | 17B active (16 experts) | 10M | Dec 2024 | 0.11 | 0.34 | Open source; pricing via Groq/DeepInfra. Fits on a single H100 GPU | true | true | true | true | true | true | false | 79.6 | 82 | 70.5 | 8.3 | ~200-600ms | 100-600 | Massive context (10M tokens), multimodal, on-premises deployment, cost optimization |
Llama 4 Maverick | Meta | 17B active (128 experts) | 10M | Dec 2024 | 0.2 | 0.6 | Open source; pricing via Groq/DeepInfra/Together AI | true | true | true | true | true | true | false | 85.5 | 88 | 78.5 | 8.7 | ~300-1000ms | 50-560 | Best open-source all-around performance, data sovereignty, custom fine-tuning |
DeepSeek V3 | DeepSeek | 671 (37B active) | 128K | Dec 2024 | 0.25 | 1.1 | Open source (MIT); pricing via DeepSeek API and inference providers | true | false | true | true | true | true | false | 88.5 | 82.6 | 90.2 | 8.8 | ~300-1000ms | 50-100 | Cost-efficient reasoning, math-heavy tasks, code generation, open-source GPT-4 alternative |
DeepSeek R1 | DeepSeek | 671 (37B active) | 128K | Dec 2024 | 0.55 | 2.19 | Open source (MIT); reasoning model with chain-of-thought | true | false | false | false | true | false | false | 90.8 | 85.3 | 97.3 | null | ~2-15s | 20-50 | Advanced reasoning, mathematical proofs, scientific analysis, research tasks |
Mistral Large 3 | Mistral AI | 675 (41B active) | 256K | Jun 2025 | 0.5 | 1.5 | Open source (Apache 2.0); EU-hosted option; MoE architecture | true | true | true | true | true | true | true | 85.5 | 90.2 | 83.5 | 8.5 | ~350ms | 60-80 | European data residency, multilingual enterprise, coding, open-source frontier model |
Mistral Small 3.2 | Mistral AI | 24 | 128K | Mar 2025 | 0.06 | 0.18 | Open source; EU-hosted; ultra-efficient 24B model | true | false | true | true | true | true | true | 72.2 | 75 | 60 | 8.1 | ~100ms | 150-200 | Ultra-low-cost classification, routing, edge deployment, cost-efficient European workloads |
Command A | Cohere | Undisclosed | 256K | Mar 2024 | 2.5 | 10 | Pay-as-you-go API; RAG-optimized with grounded generation | false | false | true | true | true | true | true | 71.2 | 68 | 53 | 8.2 | ~280ms | 60-80 | Enterprise RAG, grounded generation with citations, multilingual search, agentic workflows |
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