What are Qwen3-1.7B's benchmark scores?

As of 25 Oct 2026, Qwen3-1.7B (thinking effort) scores 37.9 ±4.6 on the BenchLeader Index, strongest in reasoning (41) and weakest in long context (23). That rests on 6 independent benchmark results, and every score on this page links to its publisher.

How does Qwen3-1.7B rank?

Qwen3-1.7B (thinking effort) is #725 of 785 ranked configurations on 25 Oct 2026. 208 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.

When was Qwen3-1.7B released?

Alibaba released Qwen3-1.7B on 29 Apr 2025. BenchLeader has results for it at 3 reasoning-effort settings.

Alibaba Open weights: Qwen/Qwen3-1.7BReasoning modelCompare with another model

Qwen3-1.7B

Reasoning effort

Qwen3-1.7B is an Alibaba open-weights reasoning model, released 29 Apr 2025. Its best configuration (thinking reasoning effort) ranks #725 of 785 on the BenchLeader Index at 37.9 ±4.6, in the lower half. The ± is the point: 208 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (41) and lowest in long context (23). It has been measured at 3 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 28 Apr 2025.stale: no new result in six months

Blended price: –
Output speed: –
First answer: –
Context: 32k
Full answer: –
Cost per run: –
Released: 29 Apr 2025

How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.

Overall index38
Reasoning41
Agents & tools34
Knowledge27
Instruction following31
Long context23
Composite35

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

Effort	Index	Rank	Speed	First answer	Chat reply cost	Categories
no reasoning	34.6	#768	–	–	–	Agents & tools 34 · Composite 35 · Instruction following 26 · Knowledge 24 · Long context 23 · Maths 27 · Reasoning 33
thinkingbest	37.9	#725	–	–	–	Agents & tools 34 · Composite 35 · Instruction following 31 · Knowledge 27 · Long context 23 · Reasoning 41
not stated	–	–	–	–	–	Agents & tools 41 · Reasoning 30

How its index has moved

9 Sept 2026 to 21 Oct 2026

thinking
no reasoning

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmark	no reasoning	thinking	not stated	Source
GPQA Diamond	30.6%#270	–	38.0%#253	Epoch AI Benchmarking Hub
GPQA Diamond (AA)not in index	28.3%#532	35.6%#492	–	Artificial Analysis
Humanity's Last Exam (AA)not in index	5.3%#435	4.6%#482	–	Artificial Analysis
CritPt	0.0%#315	0.0%#315	–	Artificial Analysis

Agents & tools

Benchmark	no reasoning	thinking	not stated	Source
Terminal-Bench Hard	0.0%#362	0.0%#362	–	Artificial Analysis
τ²-Bench Telecom (AA)not in index	21.6%#319	26.0%#287	–	Artificial Analysis
BFCL Overalleffort not stated	–	–	28.4%#53	Berkeley Function Calling Leaderboard

Maths

Benchmark	no reasoning	Source
OTIS Mock AIME	8.1%#232	Epoch AI Benchmarking Hub

Knowledge

Benchmark	no reasoning	thinking	Source
AA-Omniscience	-84.1#548	-77.5#535	Artificial Analysis
AA-Omniscience: accuracynot in index	6.9%#528	8.9%#510	Artificial Analysis
AA-Omniscience: non-hallucinationnot in index	2.2%#549	5.2%#520	Artificial Analysis

Instruction following

Benchmark	no reasoning	thinking	Source
IFBench	21.1%#411	26.9%#382	Artificial Analysis

Long context

Benchmark	no reasoning	thinking	Source
AA-LCR	0.0%#493	0.0%#493	Artificial Analysis

Composite

Benchmark	no reasoning	thinking	Source
AA Intelligence Index v4.3.2	4.9#615	5.2#599	Artificial Analysis

New this month

Questions people ask

What are Qwen3-1.7B's benchmark scores?: As of 25 Oct 2026, Qwen3-1.7B (thinking effort) scores 37.9 ±4.6 on the BenchLeader Index, strongest in reasoning (41) and weakest in long context (23). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
How does Qwen3-1.7B rank?: Qwen3-1.7B (thinking effort) is #725 of 785 ranked configurations on 25 Oct 2026. 208 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was Qwen3-1.7B released?: Alibaba released Qwen3-1.7B on 29 Apr 2025. BenchLeader has results for it at 3 reasoning-effort settings.

Data as of 25 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Qwen3-1.7B: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/qwen3-1-7b.