Workload (input : output ratio)
Latency sensitivity
Your location
Monthly usage (M tokens)
AI Value = log₁₀(quality / blended $) − log₁₀((ms + k/4) / (k + k/4))
ms = TTFT + city→region RTT + α·gen_time · bonus below knee k, penalty above · +1.0 ≈ 10× value
Cheapest Input
—
per 1M tokens
Best AI Value (chat)
—
AI value score
Fastest from Vilnius 🇱🇹
—
estimated RTT
Best Reasoning AI Value
—
AI value score
EU-Native Models
—
with European endpoints

🏆 Best AI Value per Category

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Provider ↕ Model ↕ In / 1M ↕ Out / 1M ↕ Est $ / mo ↕ Ctx ↕ Latency 🇱🇹 ↕ Quality Index ↕ AI Value ↕ Links
Google
text-embedding-004 (legacy)
text-embedding-004
 $0.013 $0.00 2k ~60ms 40 3.78
Cohere
Embed v3 (English)
embed-english-v3.0
 $0.100 $0.00 0k ~60ms 43 2.92
Cohere
Embed v3 (Multilingual)
embed-multilingual-v3.0
 $0.100 $0.00 0k ~60ms 42 2.91
Mistral AI
Mistral Embed
mistral-embed
 $0.100 $0.00 8k ~49ms 36 2.89
Google
Gemini Embedding
gemini-embedding-001
 $0.150 $0.00 2k ~60ms 45 2.76
OpenAI
text-embedding-3-large
text-embedding-3-large
 $0.130 $0.00 8k ~175ms 45 2.48
Poolside
Laguna XS 2.1
laguna-xs-2.1
 $0.060 $0.12 256k ~175ms 39 1.58
DeepSeek
DeepSeek V4 Flash (reasoner alias)
deepseek-reasoner
 $0.140 $0.28 128k ~280ms 42 1.11
Poolside
Laguna S 2.1
laguna-s-2.1
 $0.100 $0.20 1049k ~175ms 45 0.98
Kwaipilot
KAT-Coder-Air V2.5
kat-coder-air-v2.5
 $0.150 $0.60 256k ~260ms 43 0.75
DeepSeek
DeepSeek V4 Pro
deepseek-v4-pro
 $0.435 $0.87 1000k ~280ms 36 0.74
ByteDance
Doubao 2.0 Pro
doubao-2.0-pro
 $0.300 $0.80 256k ~250ms 36 0.61
OpenAI
GPT-5.3 chat-latest
gpt-5.3-chat-latest
 $1.750 $14.00 400k ~175ms 50 -0.01
xAI
Grok 4.20 Multi-Agent
grok-4.20-multi-agent-0309
 $2.000 $6.00 2000k ~180ms 50 -0.11
Kwaipilot
KAT-Coder-Pro V2.5
kat-coder-pro-v2.5
 $0.740 $2.96 256k ~260ms 48 -0.14
OpenAI
GPT-5.6 Luna
gpt-5.6-luna
 $1.000 $6.00 1050k ~175ms 37 -0.21
xAI
Grok 4.5
grok-4.5
 $2.000 $6.00 500k ~175ms 39 -0.22
OpenAI
GPT-5.6 Terra
gpt-5.6-terra
 $2.500 $15.00 1050k ~175ms 42 -0.30
Azure OpenAI
GPT-5.4 (Sweden Central)
gpt-5.4
 $2.500 $15.00 400k ~48ms 39 -0.57
OpenAI
GPT-5.4
gpt-5.4
 $2.500 $15.00 400k ~175ms 39 -0.59
Anthropic
Claude Sonnet 5
claude-sonnet-5
 $3.000 $15.00 1000k ~180ms 38 -0.60
Together AI
Kimi K3 (Together)
moonshotai/Kimi-K3
 $3.000 $15.00 1050k ~65ms 44 -0.61
Fireworks AI
Kimi K3 (Fireworks)
accounts/fireworks/models/kimi-k3
 $3.000 $15.00 1050k ~65ms 44 -0.61
OpenRouter
Kimi K3 (OpenRouter)
moonshotai/kimi-k3
 $3.000 $15.00 1050k ~130ms 44 -0.62
Moonshot AI
Kimi K3
kimi-k3
 $3.000 $15.00 1050k ~260ms 44 -0.64
SiliconFlow
Kimi K3 (SiliconFlow)
moonshotai/Kimi-K3
 $3.000 $15.00 1049k ~260ms 44 -0.64
OpenAI
o3 Deep Research
o3-deep-research
 $5.000 $20.00 200k ~175ms 42 -0.69
Anthropic
Claude Opus 5
claude-opus-5
 $5.000 $25.00 1000k ~180ms 51 -0.70
AWS Bedrock
Claude Opus 4.7 (eu-central-1)
eu.anthropic.claude-opus-4-7-v1:0
 $5.000 $25.00 200k ~41ms 41 -0.77
Anthropic
Claude Opus 4.8
claude-opus-4-8
 $5.000 $25.00 1000k ~180ms 42 -0.79
Anthropic
Claude Opus 4.7
claude-opus-4-7
 $5.000 $25.00 1000k ~180ms 41 -0.80
OpenAI
GPT-5.6 Sol
gpt-5.6-sol
 $5.000 $30.00 1050k ~175ms 47 -0.81
OpenAI
GPT-5.5
gpt-5.5
 $5.000 $30.00 400k ~175ms 38 -0.90
Anthropic
Claude Fable 5
claude-fable-5
 $10.000 $50.00 1000k ~180ms 50 -1.01
OpenAI
GPT-5 Pro
gpt-5-pro
 $15.000 $120.00 400k ~175ms 50 -1.38
OpenAI
GPT-5.4 Pro
gpt-5.4-pro
 $30.000 $180.00 400k ~175ms 60 -1.48
📊 Methodology: Quality = Artificial Analysis Intelligence Index (rebased 2026, top frontier ~57–60). Cost = workload-weighted blend of input & output $/1M tokens. Latency = TTFT (inference) + estimated RTT from your selected city to the model's datacenter region, then a symmetric log adjustment around the sensitivity knee (bonus below, penalty above). Throughput (tok/s) is shown per model and folded into typical response time for the chosen workload.
Formula: AI Value = log₁₀(quality_index / blended_cost) − log₁₀((latency_ms + knee/4) / (knee + knee/4)). Absolute score — no rescaling. LMSYS Chatbot Arena ELO shown separately for human-preference context. Auto-refreshed every 6h.