The LLM Price Index
One number for the cost of frontier intelligence — the blended price of a million tokens across today's flagship models, re-verified daily.
The LLM Price Index · as of
$4.89/1M tok
blended price of a million tokens across 10 frontier flagships — one current flagship per major lab.
The index level has been unchanged for 7 days — it last moved Nov 7, 2026, and that move was a basket rebalance, not a reprice. A flat level is the finding, not a missed update: frontier list prices are structurally sticky and step only at a rebalance.
MODELPRICEWATCH.COM · 2026-11-14
The level over time
chain-linked · rescaled so today's point equals the headlineIndex level — · 115 readings
| Date | Slot succession | Effect |
|---|---|---|
| GPT-5.5 → GPT-5.6 Sol; Grok 4 → Grok 4.5 | rebalance | |
| Claude Opus 4.8 → Claude Opus 5; Qwen3-Max → Qwen3.7-Max; + Moonshot slot opened (Kimi K3) | rebalance | |
| + Meta slot opened (Muse Spark 1.1) | composition | |
| Qwen3.7-Max → Qwen3.8-Max | rebalance | |
| Muse Spark 1.1 → Muse Spark 1.2 | like-for-like | |
| Grok 4.5 → Grok 4.6 | like-for-like | |
| GLM-5.2 → GLM-5.3 | like-for-like | |
| GPT-5.6 Sol → GPT-6 Astra | rebalance | |
| Muse Spark 1.2 → Muse Spark 1.3 | like-for-like | |
| Claude Opus 5 → Claude Opus 5.5; Grok 4.6 → Grok 4.7 | rebalance | |
| Gemini 3.1 Pro → Gemini 4 Argon; Kimi K3 → Kimi K3.1 Pro | rebalance |
The Intelligence Cost Curve
ceiling vs floor · log scale · GPQA Diamond (raw %)The flagship index is the ceiling — what the frontier costs. The floor is the cheapest model that still clears a fixed capability bar (GPQA Diamond ≥ 70, “GPT-4-class general reasoning”, anchored to the GPT-4.1 generation (GPT-4.1 itself reads 66.3 on our record)). As cheaper capable models launch, the floor falls — the widening gap is the deflation story.
Ceiling vs floor —
54.3× cheaper
GPT‑4-class intelligence now costs $0.090/Mtok (DeepSeek V4 Flash · DeepInfra) against the $4.89 flagship ceiling.
What stepped the floor down
- o4-mini
- $1.93/Mtok
- Grok 4.3
- $1.56/Mtok
- DeepSeek V4 Pro
- $0.544/Mtok
- GPT-OSS 120B Fireworks
- $0.262/Mtok
- DeepSeek V4 Flash DeepInfra
- $0.113/Mtok
- DeepSeek V4 Flash DeepInfra
- $0.090/Mtok
What moved
latest refresh ·No frontier flagship list-price moves since the last refresh — the basket held steady. That's the norm: frontier list prices are structurally sticky and step only at rebalances.
Cut three ways
sub-indices — each tells a different storyCheapest frontier token
$0.750 /1M blended
Mistral Large 3 — how little frontier-class capability can cost.
Cost per intelligence point
$0.068
Blended cost ÷ benchmark score, over the 9/10 constituents with a published score. Best value: Mistral Large 3.
Open vs closed spread
$5.75 vs $1.45
Closed-weights vs open-weights flagships — the premium for proprietary models.
What's in the index
one slot per lab — a slot follows its lab's flagship line; the line itself changes only on a deliberate rebalance| Model | Provider | Blended* $/1M | Weights |
|---|---|---|---|
| GPT-6 Astra | OpenAI | $20.00 | Closed |
| Claude Opus 5.5 | Anthropic | $8.00 | Closed |
| Gemini 4 ArgonIntro price | $4.00 | Closed | |
| Grok 4.7 | xAI | $3.00 | Closed |
| DeepSeek V4 Pro | DeepSeek | $1.98 | Closed |
| Qwen3.8-Max | Alibaba | $3.00 | Closed |
| Mistral Large 3 | Mistral | $0.750 | Open |
| GLM-5.3 | Z.AI | $2.15 | Open |
| Kimi K3.1 Pro | Moonshot | $4.00 | Closed |
| Muse Spark 1.3 | Meta | $2.00 | Closed |
Cite it
"Frontier intelligence costs $4.89 per million tokens — up 7% since Feb 23, 2026, flat for 7 days."
The LLM Price Index — ModelPriceWatch, 2026-11-14 · modelpricewatch.com/price-index/
Citing a past date? Levels are restated onto the current basket when composition changes — the as-published archive keeps every dated headline frozen on its own basis. What we promise →
State of LLM Pricing — November 2026 →
The dated report: the index held at $5.14 for all of October, while Google and Moonshot launched flagships cheaper than the models in their seats, and every successor model launched at the same price or cheaper.
How it's calculated →
Full methodology: constituents, weighting, the 3:1 blend, rebalancing.
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Use the data →
Free, CORS-open API. Cite the LLM Price Index freely.