Auto-generated from each provider's pricing page. Pricing changes, model launches, and tokenizer-accuracy upgrades, in reverse chronological order. The leaderboard at the top updates with every build.
Cost to run a 1,000-token-input / 200-token-output prompt 1,000 times, across the eight cheapest non-deprecated models we track. Updates automatically with every pricing snapshot.
| # | Model | Per 1M calls |
|---|---|---|
| #1 | GPT-5 Nano | $130.00 |
| #2 | GPT-4.1 Nano | $180.00 |
| #3 | Gemini 2.5 Flash-Lite | $180.00 |
| #4 | Llama 3.1 8B | $216.00 |
| #5 | GPT-4o mini | $270.00 |
| #6 | GPT-5.4 Nano | $450.00 |
| #7 | DeepSeek V3 | $490.00 |
| #8 | Gemini 3.1 Flash-Lite | $550.00 |
Anthropic's modest Opus 4.8 upgrade lands at the same standard price but quietly drops the fast-tier 3x. Worth the model-string swap; worth a serious look if latency is your bottleneck.
Anthropic released Claude Opus 4.8 on 2026-05-28. Standard mode pricing unchanged at $5 input / $25 output per 1M tokens. The claude-opus entry now resolves to 4.8 (apiId: claude-opus-4-8). Inherits the Opus 4.7 tokenizer behavior (up to 35% more tokens than legacy Claude models for the same text). Anthropic describes 4.8 as 'a modest but tangible improvement' with gains in agentic coding, reasoning, knowledge work, and honesty.
Added Claude Opus 4.8 Fast Mode as a separate entry: $10 input / $50 output per 1M tokens, producing tokens at ~2.5x normal speed. Anthropic dropped the fast-tier price 3x vs Opus 4.7 (was $30/$150). Useful for latency-sensitive workloads where Opus quality is needed but the standard tier's throughput is the bottleneck.
Shipped real BPE tokenization for the Llama family via llama-tokenizer-js (lazy-loaded ~2MB chunk on first Llama count). All llama-* models now labeled 'exact' instead of '≈±3%'. Mistral / Qwen / DeepSeek / GLM still use heuristic (now character-class-aware — buckets text into ASCII / digit / CJK / whitespace and applies per-class ratios — more accurate than the prior constant-ratio version, still labeled ≈±3%).
Added 5 OSS models: Llama 3.3 70B ($0.88/$0.88, current Together flagship Meta), DeepSeek V3.1 ($0.60/$1.70 Together listing), DeepSeek R1 ($3/$7 reasoning), Qwen3 Coder 480B ($2/$2 current Alibaba coding flagship), GLM-5.1 ($1.40/$4.40 new Zhipu provider). Llama 3.1 entries kept but flagged 'no longer on Together's main page — verify provider'. Llama 4 NOT added — not on Together's current pricing page.
Added 21 OpenAI models: full GPT-5 family (5, 5.1, 5.2, 5.2 Pro, 5.3, 5.4, 5.4 Mini, 5.4 Nano, 5.4 Pro, 5.5, 5.5 Pro, mini, nano, Pro tiers), GPT-4.1 family (4.1, mini, nano), and o-series reasoning (o3, o3-mini, o3-pro, o4-mini).
Added Gemini 3 family: 3.1 Pro Preview ($2/$12), 3 Flash Preview ($0.50/$3), 3.1 Flash-Lite Preview ($0.25/$1.50). Added Gemini 2.5 Flash-Lite GA ($0.10/$0.40).
Correction — Gemini 2.5 Flash priced higher than initial entry. Live Google pricing page lists $0.30 input / $2.50 output.
Correction — see input change above.
Correction — initial Opus 4.7 entry was based on prior-generation Opus pricing. Anthropic prices Opus 4.7 at $5 input / $25 output.
Correction — see input change above.
Correction — Haiku 4.5 priced higher than initial entry suggested.
Correction — see input change above.
Initial pricing snapshot — 15 models across 7 providers.