Coding · Alibaba Cloud

QwQ Base on LiveCodeBench: score, rank and what it means

QwQ Base scores 64.0 on LiveCodeBench, placing it #319 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
64.0
0–100 scale
Rank
#319
of 600
Percentile
47th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
21.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with QwQ Base highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, QwQ Base sits at #319 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 21.1 points. The median model in this index scores 64.7, which puts QwQ Base below the midpoint.

Alibaba Cloud models average 64.0 on this benchmark. QwQ Base is 0.0 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among multimodal models, the average is 70.3. QwQ Base is 6.3 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 64.0 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $3.68 per million input tokens, QwQ Base is below the median input price of $4.00 across the 600 models scored on LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
DBRX Databricks 65536 $3.29 73.3
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
Llama 3 Hyperbolic Hyperbolic 65536 $3.86 74.5
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Firesearch Pro Fireworks AI 32768 $7.67 70.4
Firesearch Reasoning Fireworks AI 32768 $7.74 69.0

Other benchmarks for QwQ Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 263 56th
GPQA Diamond 69.9 268 55th
SWE-bench Verified 65.2 211 65th
HumanEval 77.0 308 49th
MATH-500 77.5 266 56th
AIME 2025 66.2 326 46th
IFEval 81.2 303 50th
TruthfulQA 79.8 190 68th
HellaSwag 86.4 201 67th
MMMU 70.0 304 49th
Arena Elo 1373.8 300 50th

FAQ

What score does QwQ Base get on LiveCodeBench?

QwQ Base scores 64.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does QwQ Base rank on LiveCodeBench?

It ranks #319 of 600 models, in the 47th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is QwQ Base good at LiveCodeBench?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the LiveCodeBench score calculated?

LiveCodeBench is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does QwQ Base cost?

QwQ Base costs $3.68 per million input tokens and $15.98 per million output tokens.

Related