Preference · Alibaba Cloud

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

QwQ Instruct scores 1420.8 on Arena Elo, placing it #146 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
1420.8
0–100 scale
Rank
#146
of 600
Percentile
76th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
81.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with QwQ Instruct 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 Instruct sits at #146 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 81.1 points. The median model in this index scores 1373.8, which puts QwQ Instruct above the midpoint.

Alibaba Cloud models average 1370.9 on this benchmark. QwQ Instruct is 49.9 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 Instruct is 11.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 1420.8 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 $4.62 per million input tokens, QwQ Instruct is above 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
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Reka Core Pro Reka AI 65536 $13.44 79.9
Qwen3 Alibaba Cloud 128000 $5.04 80.3
QwQ Instruct Alibaba Cloud 65536 $4.62 79.0
MiniMax-Text MiniMax 32768 $4.44 77.0
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2

Other benchmarks for QwQ Instruct

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.8 189 69th
GPQA Diamond 73.5 187 69th
SWE-bench Verified 67.3 163 73th
HumanEval 81.2 210 65th
MATH-500 84.1 124 79th
AIME 2025 74.7 161 73th
LiveCodeBench 72.4 139 77th
IFEval 87.7 110 82th
TruthfulQA 82.8 113 81th
HellaSwag 88.4 128 79th
MMMU 76.8 116 81th

FAQ

What score does QwQ Instruct get on Arena Elo?

QwQ Instruct scores 1420.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does QwQ Instruct rank on Arena Elo?

It ranks #146 of 600 models, in the 76th percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is QwQ Instruct 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 Instruct cost?

QwQ Instruct costs $4.62 per million input tokens and $17.65 per million output tokens.

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