Preference · Alibaba Cloud

QwQ Base on Arena Elo: score, rank and what it means

QwQ Base scores 1373.8 on Arena Elo, placing it #300 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1373.8
0–100 scale
Rank
#300
of 600
Percentile
50th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
128.1
points

Score distribution

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

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, QwQ Base sits at #300 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 128.1 points. The median model in this index scores 1373.8, which puts QwQ Base above the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. QwQ Base is 2.9 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 1409.6. QwQ Base is 35.8 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 1373.8 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 Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mixtral Groq Chat Groq 8192 $3.09 72.0
Gemma 3 Chat Google DeepMind 65536 $3.74 74.5
Grok 4 Nano xAI 16384 $8.97 72.7
Phi-4 Base Microsoft 32768 $3.15 71.2
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Doubao 1.5 Pro Mini ByteDance 32768 $8.30 72.3
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6

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
LiveCodeBench 64.0 319 47th
IFEval 81.2 303 50th
TruthfulQA 79.8 190 68th
HellaSwag 86.4 201 67th
MMMU 70.0 304 49th

FAQ

What score does QwQ Base get on Arena Elo?

QwQ Base scores 1373.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does QwQ Base rank on Arena Elo?

It ranks #300 of 600 models, in the 50th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is QwQ Base good at Arena Elo?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the Arena Elo score calculated?

Arena Elo is a preference 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.

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