TokenTally · AI cost planner
Model real usage before launch, compare providers under the same workload, and turn token math into a decision your product, engineering, and finance teams can actually agree on.
This page is built for real planning, not curiosity clicks. Every estimate ties back to the public methodology and long-form pricing guides so reviewers can audit the math without leaving Tokentally.net.
Scenario cost snapshot
Per request
$0.0005
Per month
$2.5105
Per year
$30.126
Model rate card
Input: $0.359 / 1M tokens
Output: $1.434 / 1M tokens
Context window for Qwen3-Max (Global): 262,144 tokens
Scenario breakdown
Workload mix: input-heavy
Input cost: $0.718/month
Output cost: $1.7925/month
Prompt: 2,000,000 tokens (1,500,000 words)
Completion: 1,250,000 tokens (937,500 words)
Decision support
Cheapest model for this workload: Qwen3.5-Flash (Global)
Switching from Qwen3-Max (Global) to Qwen3.5-Flash (Global) could save about $2.0938/month, or $25.125/year.
Last pricing sync: Mar 13, 2026
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Starter scenarios
Model comparison
| Model | $/request | $/month | Savings vs selected | Provider | Latency |
|---|---|---|---|---|---|
| Qwen3.5-Flash (Global) | $0.0001 | $0.4167 | Save $2.0938/mo | Alibaba Cloud | economy |
| Llama 3.1 8B Instruct (Fireworks) | $0.0001 | $0.585 | Save $1.9255/mo | Meta | economy |
| GPT-5 Nano | $0.0001 | $0.60 | Save $1.9105/mo | OpenAI | economy |
| Gemini 2.5 Flash-Lite | $0.0001 | $0.70 | Save $1.8105/mo | economy | |
| Grok 4.1 Fast | $0.0002 | $1.025 | Save $1.4855/mo | xAI | standard |
| GPT-4o Mini | $0.0002 | $1.05 | Save $1.4605/mo | OpenAI | economy |
| Qwen3.5-Plus (Global) | $0.0002 | $1.09 | Save $1.4205/mo | Alibaba Cloud | standard |
| Grok 3 Mini | $0.0002 | $1.225 | Save $1.2855/mo | xAI | economy |
Why this is useful
Decision workflow
Flip through providers to see how the same workload behaves across pricing tiers. The comparison table mirrors your exact inputs, so the tradeoffs stay concrete.
Planning a routing strategy? Compare premium models against budget models using the same workload so you can estimate whether escalation logic is financially worth it.
When you need line-item detail, move from this planning surface to the comparison pageor dive into the guide library for model-specific assumptions.
Deep dives
Need context, not just numbers? The guides explain where each model fits, what assumptions matter, and how pricing behaves in practice.
Browse guides →Trust layer
We log pricing refreshes with source links and assumptions. Review the methodology page before sharing with auditors.
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