Qwen3 32B

AlibabaKey qwen3-32bAlso reported as qwen/qwen3-32b, qwen3:32b

No usage of Qwen3 32B in the last 7 days. Showing all time instead.

Rank
#512
by active users
Active users
13
All time
Adoption
0.5%
of 2,457 accounts
Tokens
11.4M
cache included
Est. cost
$3
at public list prices
First seen
Sep 29, 2025
in any submission

Oct 10, 2024 – Nov 12, 2026 (UTC)2,457 accounts100% of tokens from an identified modelData through Nov 12, 2026, 08:13 UTCHow we count

Daily active users

Distinct accounts that used this model on each UTC day.

0 active users on Nov 12, 2026

Daily active users for Qwen3 32B, Oct 10, 2024 to Nov 12, 2026. Peak 1. Use the left and right arrow keys to read each day.110
Show daily values
Daily active users and tokens for Qwen3 32B
Date (UTC)Active usersTokens
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Sep 29, 2025136.7K
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Oct 26, 2025164.7K
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Dec 8, 20251290
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Dec 14, 20251865
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Dec 16, 20251147K
Dec 17, 20251392K
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Dec 30, 2025161.7K
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Jan 12, 20261396K
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Feb 22, 20261651K
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Feb 24, 20261208K
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Mar 3, 2026123.8K
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Oct 1, 2026159.7K
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Token mix

How the 11.4M tokens split. Cache reads are usually most of an agent's tokens and are priced far below input.

  • Input75%
  • Output3.7%
  • Cache read21%
  • Cache write0%
  • Reasoning0%

Agents that carry Qwen3 32B

Each agent's share of this model's tokens, and how many accounts used the model through it.

  1. OpenClaw72% of this model's tokens2active users
  2. OpenCode21% of this model's tokens8active users
  3. Kilo5.4% of this model's tokens1active users
  4. Oh My Pi0.5% of this model's tokens1active users
  5. Hermes Agent0.2% of this model's tokens1active users
  6. LM Studio<0.1% of this model's tokens1active users
  7. Pi<0.1% of this model's tokens1active users

Benchmarks

The best result for Qwen3 32B in each benchmark Tokscale tracks. Each benchmark has its own unit, run conditions and source, so compare a score only with other models on the same benchmark. Rank is among the models Tokscale matched in that benchmark.

All benchmarks
  • Epoch Capabilities IndexOverall · Epoch AI
    136.9
    Rank #125 of 158 matched modelsNo conditions reportedModel released Apr 29, 2025Source: epoch.ai (opens in a new tab)
  • GPQA DiamondReasoning · Epoch AI
    65.7%
    Rank #117 of 160 matched modelsNo conditions reportedRun date Aug 28, 2026Source: epoch.ai (opens in a new tab)

    Near its ceiling: the top score is 96.5%, and Epoch AI estimates the reachable maximum at 97%. Differences between top models are small.

    Show 1 more result with other run conditionsHide the other results
    • Listed as Qwen3-32B_none
      54.1%
      No reasoningRun date Aug 30, 2026Source: epoch.ai (opens in a new tab)

Not evaluated: Humanity's Last Exam, FrontierMath Tiers 1–3 (v2), SimpleQA Verified, Terminal-Bench 4.1, CursorBench, DeepSWE, FrontierSWE, Agent Arena, WebDev Arena. A missing result is not a score of zero.

Pricing

List prices from models.dev in US dollars per 1M tokens, retrieved Nov 12, 2026. Alibaba is the lab's own API and the reference price for the estimates below.

Price at real agent usageEstimate at list prices

What 1M tokens cost at the reference list price when they split into input, output and cache the way Tokscale users' agents used them. It is not what anyone paid.

At this model's mix
$0.78
Est. per 1M tokens
21% cache reads
At the community mix
$0.71
Est. per 1M tokens
93% cache reads
3:1 input/output blend
$1.22
Per 1M tokens at list prices
No cache

Cache reads were 21% of Qwen3 32B tokens across all time and 93% of all tokens. The 3:1 blend, (3 × input + output) ÷ 4, is the usual comparison and ignores cache.

Assumptions

  • Alibaba list prices per 1M tokens: input $0.70, output $2.80.
  • This model's mix is its own input, output, cache and reasoning tokens across all time.
  • The community mix is the tokens of every identified model across all time.
  • This is an estimate at list prices, not what anyone paid.
  • Reasoning tokens are priced as output.
  • Long-context tiers, batch pricing and discounts are not applied.
  • Token mixes come from public Tokscale submissions. Hidden accounts are excluded.
  • No cache-read price is listed, so cache reads are priced as input.
  • No cache-write price is listed, so cache writes are priced as input.

List prices by provider

  • AlibabaReferenceqwen3-32b
    $0.70 input per 1M tokens$2.80 output per 1M tokensCache read not listedCache write not listed131K tokens of context
  • Amazon Bedrockqwen.qwen3-32b-v1:0
    $0.15 input per 1M tokens$0.60 output per 1M tokensCache read not listedCache write not listed33K tokens of context
  • OpenRouterqwen/qwen3-32b
    $0.08 input per 1M tokens$0.28 output per 1M tokensCache read not listedCache write not listed131K tokens of context
  • Vercel AI Gatewayalibaba/qwen-3-32b
    $0.15 input per 1M tokens$0.60 output per 1M tokensCache read not listedCache write not listed128K tokens of context
  • Deep InfraQwen/Qwen3-32B
    $0.08 input per 1M tokens$0.28 output per 1M tokensCache read not listedCache write not listed41K tokens of context

Specs

From models.dev (MIT), retrieved Nov 12, 2026, as the lab or the first listed provider reports them. A dash means models.dev does not list the value.

Context window
131K tokens
Max output
16K tokens
Input
Text
Output
Text
Knowledge cutoff
Apr 2025
Release date
— not listed
Open weights
Yes
Reasoning
Yes
Tool calling
Yes

Top public profiles

Public profiles that used Qwen3 32B most in this period, by tokens. Hidden accounts are never listed.

  1. 1Mark Ferraz@mferraznw10.2Mtokens$2est. cost7active days$2 est. cost · 7 active days
  2. 2d0@neiii539Ktokens<$1est. cost2active days<$1 est. cost · 2 active days
  3. 3Woonggi Min@minpeter396Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  4. 4LunarECL@LunarECL98.4Ktokens<$1est. cost2active days<$1 est. cost · 2 active days
  5. 5Đỗ Anh Tú@tudoanh64.7Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  6. 6Sean Swanson@seanGSISG59.7Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  7. 7Daniel LaForce@KeyArgo24.2Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  8. 8김지섭@kimjisub23.8Ktokens<$1est. cost1active days<$1 est. cost · 1 active days
  9. 9Will Hart@willh351819.9Ktokens—est. cost1active daysno price · 1 active days
  10. 10Pamela@Caffa16.5Ktokens—est. cost1active daysno price · 1 active days

More from Alibaba

Other Alibaba models in the same period, by active users.

  1. Qwen3.6 Plus Free5.7% adoption141active users
  2. Qwen3.6 Plus5.0% adoption123active users
  3. Qwen3.7 Max4.8% adoption118active users
  4. Qwen3.8 Max4.7% adoption116active users
  5. Qwen3.7 Plus3.8% adoption93active users
  6. Qwen3.5 Plus3.4% adoption83active users
All models

Sources and attribution

Each score keeps its own source, unit and run conditions. Tokscale does not combine benchmarks into one score, and a missing score means the model was not evaluated, not that it scored zero.

  • Epoch AIEpoch Capabilities Index, Epoch's own runs and the external results it collects.CC BY 4.0 · Retrieved Nov 12, 2026 · Data through Nov 9, 2026Epoch AI, ‘Capabilities & benchmarking’. Published online at epoch.ai. Retrieved from https://epoch.ai/benchmarks.
  • models.devSpecs and list prices per provider.MIT · Retrieved Nov 12, 2026models.dev, an open catalog of AI models (github.com/anomalyco/models.dev).
  • TokscaleActive users, tokens and token mix from public Tokscale submissions. Hidden accounts are excluded.How we count