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Model profile

Qwen2.5-72B

AlibabaEstablishedReleased Sep 19, 2024
Data verified
Overall Score
Coming soon
Arena Elo
1302
Eligible category ranks
0of 8
Price (1M tokens)
$0 in / $0 out
API pricing
Speed
Not listed
Context
128K

Evidence coverage

0 of 321 tracked benchmarks are published. 0 are verified and 0 provisional. 0 of 8 categories are measured.

Updated July 20, 2026Methodology
Published / tracked
0 / 321
Verified
0
Provisional
0
Categories with evidence
0 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math0 benchmarks
    Not measured
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
Open WeightSelf-hostNon-Reasoning
Confidence:
Low
base

BenchLM is tracking Qwen2.5-72B, but sourced benchmark results are not published on the site yet. This page currently shows the model metadata we can verify now, and score-level benchmark coverage will appear once public evaluations land.

Qwen2.5-72B is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile does not yet have sourced benchmarks on BenchLM, so the benchmark sections below are intentionally marked as coming soon.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 51.4752.94

  1. Nemotron 3 Nano 30B
    NVIDIA
    #9852.94
    Nemotron 3 Nano 30B is #98 with a score of 52.94.
    Compare
  2. GPT-5.1-Codex
    OpenAI
    #9952.72
    GPT-5.1-Codex is #99 with a score of 52.72.
    Compare
  3. Trinity-Large-Thinking
    Arcee AI
    #10052.32
    Trinity-Large-Thinking is #100 with a score of 52.32.
    Compare
  4. Qwen2.5-72BCurrent model
    Alibaba
    #10152.15
    Qwen2.5-72B is #101 with a score of 52.15.
  5. Llama 3.1 405B
    Meta
    #10251.71
    Llama 3.1 405B is #102 with a score of 51.71.
    Compare
  6. DeepSeek-R1
    DeepSeek
    #10351.67
    DeepSeek-R1 is #103 with a score of 51.67.
    Compare
  7. Qwen3.6-35B-A3B
    Alibaba
    #10451.47
    Qwen3.6-35B-A3B is #104 with a score of 51.47.
    Compare

Benchmark data coming soon

BenchLM has created this model profile, but no sourced benchmark rows are published here yet. Category charts, rankings, and score tables will appear after public evaluations are available and attached to source records.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1302Not availableNot available

Frequently Asked Questions

How does Qwen2.5-72B perform overall in AI benchmarks?

We are tracking Qwen2.5-72B, but sourced benchmark coverage is still coming soon. The profile lists only the model metadata that has a verified public source.

Is Qwen2.5-72B open source?

Yes, Qwen2.5-72B is an open weight model created by Alibaba, meaning it can be downloaded and run locally or fine-tuned for specific use cases.

Does Qwen2.5-72B have full benchmark coverage on BenchLM?

Not yet. Qwen2.5-72B currently has 0 published benchmark scores out of the 321 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Qwen2.5-72B?

Qwen2.5-72B has a published context window of 128K, which determines how much text it can process in a single interaction.

Last updated: July 20, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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