TokenAtlas Why TokenAtlas
Why Teams Choose TokenAtlas
Provider dashboards show you one bill. Spreadsheets go stale. TokenAtlas gives you continuous, cross-provider AI cost intelligence in one place.
| Capability | Provider Dashboards | Spreadsheets | TokenAtlasRecommended |
|---|---|---|---|
| Multi-model visibility | |||
| Cost forecasting | |||
| Usage intelligence | |||
| Optimization insights | |||
| Efficiency scoring | |||
| Cross-provider comparison | |||
| Projected savings analysis |
Model pricing
LLM pricing, side-by-side.
Every major model — sortable by price, context, and reasoning quality. Prices are per 1M tokens.
Model comparison
| Speed | Multimodal | |||||
|---|---|---|---|---|---|---|
GPT-4o mini  OpenAI | $0.15 | $0.60 | 128K | Fast | ||
DeepSeek V3  DeepSeek | $0.27 | $1.10 | 64K | Medium | ||
Llama 3.1 70B  Groq | $0.59 | $0.79 | 131K | Fast | ||
Claude 3.5 Haiku  Anthropic | $0.80 | $4.00 | 200K | Fast | ||
Gemini 2.5 Pro  Google | $1.25 | $10.00 | 1,000K | Medium | ||
Gemini 1.5 Pro Google | $1.25 | $5.00 | 2,000K | Medium | ||
GPT-4.1 OpenAI | $2.00 | $8.00 | 1,000K | Fast | ||
Mistral Large  Mistral | $2.00 | $6.00 | 128K | Medium | ||
GPT-4o OpenAI | $2.50 | $10.00 | 128K | Fast | ||
Claude 3.5 Sonnet Anthropic | $3.00 | $15.00 | 200K | Medium | ||
o1 OpenAI | $15.00 | $60.00 | 200K | Slow |
OpenAI
DeepSeek
Groq
Anthropic
Google
MistralFrequently asked questions
- How should I read this pricing table?
- Prices are per 1M tokens as published on each provider's rate card at time of writing. Vendors cut list price frequently — treat the table as the shortlist, not the forecast. Model your actual mix in the AI cost calculator before signing a budget.
- GPT-4o vs Claude 3.5 Sonnet in production?
- GPT-4o lists cheaper per token and starts talking sooner; Claude 3.5 Sonnet has held a small lead on structured refactoring and long-context reasoning, and its prompt caching can swing the bill on prompts with a long shared prefix. Full trade-offs live on the Claude 3.5 Sonnet vs GPT-4o page.
- GPT-4.1 vs Gemini 2.5 Pro — which should I default to?
- Under 200K context and output-heavy workloads GPT-4.1 usually wins on both price and first-token latency. Above 200K context Gemini 2.5 Pro tends to be the only sensible option. The GPT-4.1 vs Gemini 2.5 Pro page walks through the crossover on a real workload.
- Which model is best for coding agents?
- On published SWE-bench results at time of writing, Claude 3.5 Sonnet leads for structured refactoring and agentic loops, which is why coding IDEs like Cursor and Zed default to it. GPT-4.1 is a close second and stricter about JSON/schema enforcement.
- How do prompt caching discounts change the math?
- Anthropic has advertised up to 90% off cached inputs; OpenAI has advertised roughly 50% off cached prompts above 1024 tokens with a short TTL; Gemini offers implicit and explicit context caching. Chat-heavy workloads with long system prompts see the largest swing.
- How current is this pricing?
- Each row tracks the provider's public rate card at time of publication and is refreshed when a vendor announces a material change. Always cross-check the provider's current pricing page before forecasting.
- Can I compare models on my own workload?
- Yes — open the AI cost calculator and switch providers to see the exact monthly cost against your traffic volume, then use AI Spend Management to keep the mix honest once it is live.