Codesota · Agentic · OpenRouter trendsOne year of weekly token dataSnapshot · 2026-06-23
§ Agentic · Market trends

One year of OpenRouter:
who actually won.

OpenRouter's rankings page ships a full year of weekly token data per vendor. We analysed it. While benchmark leaderboards argue about Claude, GPT-5 and Gemini, the actual inference market has shifted somewhere else entirely — Chinese open-weight labs went from a rounding error to more than half of the tracked flow in twelve months, and the total market is up NaN×.

§ 01 · Token share

Vendor market share, week-by-week.

Stacked share of total OpenRouter top-9 token volume. The “how many tokens” view — it undercounts premium vendors whose tokens cost 10–30× more. The dollar view is § 02.

0%25%50%75%100%
Fig 1 · Weekly token share, top-9 vendors. Remaining vendors roll into OpenRouter's “Others” bucket and are shown when they enter top-9.
§ 02 · Dollar share

Vendor dollar share, week-by-week.

Same weeks, same vendors — each vendor's token count is multiplied by its current average blended $/M, computed from the live model catalog weighted by real usage. The “how much money” view. Anthropic's token share is 0.0% but its dollar share is 0.0% — that gap is the whole premium-lane thesis.

0%25%50%75%100%Other
Fig 2 · Weekly dollar share. Historical weeks are priced at the current rate — premium vendors used to be even more expensive, so older weeks understate premium-lane dominance rather than overstate it.

Punch-weight · token share vs dollar share

Last 4 weeks. Positive gap = premium pricing, below-weight on tokens. Negative gap = volume play, below-weight on dollars.

VendorTokensDollarsGap (pts)Avg $/M
§ 03 · The shift

What changed in twelve months.

  • Chinese labs
    0 → dominant.
    Twelve months ago, Chinese labs made up 0% of tracked flow — almost all of it DeepSeek and a little Qwen. Today they're 0%. In absolute tokens that is 0.00T → 0.0T — roughly infinite growth. Xiaomi alone went from nonexistent to 13% share in under a year.
  • Western incumbents
    Absolute growth, relative collapse.
    Google and Anthropic didn't lose volume — both grew several-fold. But the market grew faster around them. Google's share fell from ~37% → ~13%. Anthropic from ~25% → ~12%. Meta, Mistral, and Microsoft vanished from the top-9 entirely. OpenAI held roughly flat at ~10% share. Losing the market and making more money are the same thing here.
§ 04 · Weekly line

Chinese labs share, weekly.

Combined share of .

0%25%50%75%100%
Fig 3 · Weekly combined share, Chinese open-weight labs.
§ 05 · Shifts

Biggest share shifts.

First 4 weeks of the series vs the last 4. Growth ratio is absolute tokens, not share.

VendorYear-agoNowΔ ptsPast tokNow tokGrowth
§ 06 · Reading

Is the market following the benchmarks?

The short answer is no, and the longer answer has three parts.

1 · The market is stratifying, not choosing. Claude Opus 4.6 is the #1 model on our inverted leaderboard by dollar spend — $25M/month across 24 apps — because it is priced at $5/$25 per million. But it is only ~4th by token volume (2.4T), and Anthropic as a vendor is ~12% of total tokens, down from ~25% last year. Both things are true at once: the premium lane still pays Anthropic real money, and the commodity lane has moved decisively elsewhere.

2 · It is following price, not quality. The vendors gaining share (Qwen, Xiaomi, MiniMax, DeepSeek, Z.ai, StepFun) share one property: aggressive open-weight pricing, often sub-$1/M blended. On the inverted model leaderboard, Qwen3.6 Plus is in 27 of 30 apps and MiMo-V2-Pro handles 5.5T tokens at ~$1.50/M blended — a tiny fraction of what a comparable Claude Opus run would cost.

3 · Benchmark-to-spend correlation is weak, and inverted at the top. Among models with both token volume and a published benchmark score, the relationship between benchmark rank and market share is closer to anti-correlated. Premium models capture most of the dollar spend because they're priced 10–30× higher; they do not capture tokens. Agents — when given a free choice through a router — route most tokens to “good enough and 20× cheaper” rather than “best and 20× more expensive”.

This cuts two ways. It says benchmark leaderboards overstate real-world adoption for frontier models. It also says the market may be under-weighting quality in agentic workflows where a wrong answer is expensive — we do not yet have the data to distinguish “efficient routers” from “cheap routers paid for by downstream users”.

§ 07 · Methodology

Where these numbers come from.

  • Data source.
    openrouter.ai/rankings RSC stream. 53 weeks of vendor-level tokens, 77 weeks of model-level. Captured 2026-06-23.
  • Top-9 slice.
    OpenRouter charts the top-9 vendors each week and rolls the rest into “Others”. Vendors that fall out of top-9 show 0 in weeks where they were below 9th.
  • Chinese labs.
    Qwen, DeepSeek, MiniMax, Xiaomi, Z.ai (Zhipu), StepFun, MoonshotAI, TNG Tech. NVIDIA Nemotron and Microsoft Phi counted as Western.
  • Dollar weighting.
    Per-vendor blended $/M computed from the live OpenRouter catalog weighted by the real usage mix in our app-level breakdown. Historical weeks are priced at the current rate.
§ Final · Related

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