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Data

Data as of October 14, 2026 · How the score is built

EstablishedOpen WeightReasoning

Released Apr 29, 2025128K contextQwen3-32B model card

Qwen3 32B (Reasoning)

Decision readingQwen3 32B (Reasoning) is tracked, but not publicly ranked yet. The profile exposes 11 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Apr 29, 2025 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 49.8Not eligible for a public rank

Price

Not listed

input median $0.80No comparable first-party hosted token rate

Speed

Not measured

field median 90 tok/sTime to first token not measured

Context

128Ktokens

field median 256,000Reported for this model; direct source link not stored

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

11 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 11 displayable benchmark rows

Follow model changes

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%1 benchmarkVerified
Score pending
CodingWeight 20%1 benchmarkVerified
Score pending
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%4 benchmarksVerified
61.8
MultilingualWeight 7%1 benchmarkVerified
Score pending
Inst. FollowingWeight 5%1 benchmarkVerified
Score pending
MathWeight 5%3 benchmarksVerified
Score pending

11 of 670 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic1/1 verified
  2. Coding1/1 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge4/4 verified
  6. Multilingual1/1 verified
  7. Inst. Following1/1 verified
  8. Math3/3 verified
Verified sourceProvisionalNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding1 row
Coding benchmark values, best verified comparison, weight, and source status
LiveCodeBench v5Score65.7%Versus best verified row

Best verified: Ling 3.0 Flash · 82.8%

Gap17.1 behindWeightDisplay only
Agentic1 row
Agentic benchmark values, best verified comparison, weight, and source status
BFCL v3Berkeley Function Calling Leaderboard v3Score70.3%Versus best verified row

Best verified: Ternary Bonsai 2 27B · 74.9%

Gap4.6 behindWeightDisplay only
Knowledge4 rows
Knowledge benchmark values, best verified comparison, weight, and source status
GPQAGraduate-Level Google-Proof Q&AScore68.4%Versus best verified row

Best verified: GPT-6 Astra · 96%

Gap27.6 behindWeight3% ref. weight
MMLU-ReduxScore90.9%Versus best verified row

Best verified: Qwen3.7 Max · 95%

Gap4.1 behindWeightDisplay only
C-EvalScore87.3%Versus best verified row

Best verified: Qwen3.6 Plus · 93.3%

Gap6 behindWeightDisplay only
MMMLUScore80.6%Versus best verified row

Best verified: Interfaze Beta · 90.9%

Gap10.3 behindWeightDisplay only
Multilingual1 row
Multilingual benchmark values, best verified comparison, weight, and source status
INCLUDEScore73.7%Versus best verified row

Best verified: Claude Opus 5 · 89.8%

Gap16.1 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFEvalInstruction-Following EvalScore85%Versus best verified row

Best verified: LFM2.5-24B-A2B · 96.8%

Gap11.8 behindWeightDisplay only
Math3 rows
Math benchmark values, best verified comparison, weight, and source status
MATH-500MATH-500 Problem SetScore97.2%Versus best verified row

Best verified: Ternary Bonsai 2 27B · 98.8%

Gap1.6 behindWeightDisplay only
AIME 2024American Invitational Mathematics Examination 2024Score81.4%Versus best verified row

Best verified: GPT-OSS 120B · 95.8%

Gap14.4 behindWeightDisplay only
AIME 2025American Invitational Mathematics Examination 2025Score72.9%Versus best verified row

Best verified: GPT-5.2 · 100%

Gap27.1 behindWeightDisplay only

Bars run 0–100; the dark tick marks the best source-verified value

All 11 rows

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 29, 2025 · you are here

    Qwen3 32B (Reasoning)

    Not publicly ranked · Price not listed

Radar

Qwen3 32B (Reasoning) release history

Full release history

Radar confirmed these at the source. Use Qwen3 32B (Reasoning) in your work? Explore Radar to follow supported changes and choose your alerts.

Radar

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
128K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Established
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Qwen3 32B (Reasoning), but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Qwen3 32B (Reasoning) is a open weight model with a 128K context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Official exact values from the Qwen3 technical report, Table 13, thinking mode. BenchLM stores mmluRedux, gpqa, cEval, ifeval, math500, aime2024, aime2025, bfclV3, liveCodeBenchV5, include, mmmlu. Each value's source and evaluation setting is recorded in row-level source verification. Kept out of rankings because the published results cover few of the benchmarks BenchLM ranks on.

Qwen3 32B (Reasoning) sits in the Qwen3 32B family with Qwen3 32B. 11 of 670 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 14, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Questions

How does Qwen3 32B (Reasoning) perform overall in AI benchmarks?

Qwen3 32B (Reasoning) has 11 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Qwen3 32B (Reasoning) good for knowledge and understanding?

Qwen3 32B (Reasoning) has source-displayable benchmark coverage for knowledge and understanding, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3 32B (Reasoning) good for coding and programming?

Qwen3 32B (Reasoning) has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3 32B (Reasoning) good for mathematics?

Qwen3 32B (Reasoning) has source-displayable benchmark coverage for mathematics, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3 32B (Reasoning) good for agentic tool use and computer tasks?

Qwen3 32B (Reasoning) has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3 32B (Reasoning) good for instruction following?

Qwen3 32B (Reasoning) has source-displayable benchmark coverage for instruction following, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3 32B (Reasoning) good for multilingual tasks?

Qwen3 32B (Reasoning) has source-displayable benchmark coverage for multilingual tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Qwen3 32B (Reasoning) open source?

Qwen3 32B (Reasoning) is an open-weight model from Alibaba. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Which sibling models are related to Qwen3 32B (Reasoning)?

Qwen3 32B (Reasoning) belongs to the Qwen3 32B family. Related tracked variants include Qwen3 32B. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Qwen3 32B (Reasoning) have full benchmark coverage on BenchLM?

No. Qwen3 32B (Reasoning) currently has 11 source-displayable rows across 670 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Qwen3 32B (Reasoning)?

Qwen3 32B (Reasoning) has a reported context window of 128K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

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Compare Qwen3 32B (Reasoning) with every tracked model931 comparisons