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ModelCap

Qwen2.5 72B Instruct

Arena #288Official publisher releaseRestricted license6.9d #246 → #249

Qwen·#249 of 352 on the current board·cheaper than #239 Command A+

Qwen2.5 72B Instruct is a language model from Qwen. It ranks #249 of 352 on ModelCap's current board, with an Index score of 27.6, measured on 2 public benchmarks. Its score range of 22.7–32.5 spans positions #226–#275. It is listed at $0.36 per million input tokens and $0.40 per million output tokens from one provider. It reads up to 33K tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
27.6#249
Measured on 2 public benchmarks · range 22.7–32.5
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
20.3Increased by 0.1
Secondary market signal
Input
$0.36
per 1M tokens
Output
$0.40
per 1M tokens
Context
33K
tokens
Providers
1
endpoint

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrafp8$0.36$0.4033Kfp8100.0%

Hugging Face Inference Providers

Exact repository identity

Provider economics and telemetry published by the Hugging Face Router. These are operational signals, not benchmark results.

ProviderInputOutputContextTTFTThroughputFeatures
deepinfra
live
$0.36$0.4033K941 ms20.9 tok/stools
featherless-ai
live
——————

Reported evaluation leads (39)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
facebook/multiloko
average_em
—2.54
Unpinned
not published
Reported
Quarantined
facebook/multiloko
gap_em
—8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
mother_tongue_effect
—-1.52
Unpinned
not published
Reported
Quarantined
facebook/multiloko
average_contains
—6.26
Unpinned
not published
Reported
Quarantined
facebook/multiloko
gap_contains
—11.6
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_arabic
—4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_bengali
—2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_cantonese
—2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_czech
—6
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_dutch
—2.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_english
—7.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_farsi
—0.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_french
—2.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_german
—2.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_hebrew
—1.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_hindi
—1.2
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_indonesian
—2.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_italian
—0.8
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_japanese
—2.4
Unpinned
not published
Reported
Quarantined
facebook/multiloko
em_khmer
—0
Unpinned
not published
Reported
Quarantined

Showing 20 of 39 rows.

Other versions (1)

ModelCap Index · Current board

Methodology
27.6
Measured on 2 public benchmarks
Current board
#249 of 352
Score range
22.7–32.5
Rank range
#226–#275
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
63.2% · strong
Identity binding
Exact catalogue product · qwen/qwen/qwen-2.5-72b-instruct · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata Qwen/Qwen2.5-72B-Instruct@495f39366efef23836d0cfae4fbe635880d2be31 (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
27.6
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
27.6
Evidence status
confirmed · 77% mass
General preference
27.1
Coding
30.9
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
63%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
7.3
Liquidity (providers × uptime)
34.4
Open reach (HF downloads)
—
Surface (context / tools / modalities)
35.1
Freshness
5.1
  • · OpenRouter popularity #222
  • · 1 live provider
  • · Catalogue: context 32768, tools
  • · First seen 2024-09-19

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
83.9
strong · 98% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
92.5
Deployability
82.5
Evaluation provenance
53.4

Not yet published: pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
20.3
OpenRouter weekly popularity
#222 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#288 of 419
Rating
1302.9
95% confidence interval
1299–1307
Votes
39K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
100%

Market Gravity breakdown

Usage55%
7.3

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
34.4

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
5.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
qwen/qwen-2.5-72b-instruct
Context window
33K tokens
Declared output cap
16K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Tokenizer
Qwen
Cached input tokens
Not offered
First seen on OpenRouter
19 Sept 2024
Knowledge cutoff
2024-06-30

Capabilities

  • Not supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Licence
qwen
Pinned revision
495f39366efe
Parameters
72.7B
Architecture
Qwen2ForCausalLM
Model type
qwen2
Hugging Face downloads (30d)
186K
Downloads (all time)
9.1M
Likes
1K
Repository updated
12 Jan 2025, 02:07 UTC
Base lineage
Qwen/Qwen2.5-72B

Compare Qwen2.5 72B Instruct with

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Benchmark leaderboards featuring Qwen2.5 72B Instruct

All leaderboards
Public benchmark boards on which Qwen2.5 72B Instruct has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13031299–1307#288 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)13551347–1362#269 of 414Default28 Oct 2026

Alternatives to Qwen2.5 72B Instruct, by the numbers

Ranked neighbours

Models within 3 places of #249 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked Qwen models

The same publisher's other current models with a public Index position.

Qwen2.5 72B Instruct: common questions

How does Qwen2.5 72B Instruct rank among AI models?

Qwen2.5 72B Instruct holds ModelCap Index position #249 of 352 ranked language models as of 6 November 2026, with an Index score of 27.6 (interval 22.7–32.5); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Qwen2.5 72B Instruct cost per 1M tokens?

Qwen2.5 72B Instruct is listed at $0.36 per 1M input tokens and $0.40 per 1M output tokens as of 6 November 2026. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.92 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

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

Qwen2.5 72B Instruct has a published context window of 33K tokens (32,768). The snapshot lists a 16,384 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Qwen2.5 72B Instruct open-weight?

Restricted license (qwen). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is Qwen/Qwen2.5-72B-Instruct on Hugging Face.

Which API providers serve Qwen2.5 72B Instruct?

One provider serves Qwen2.5 72B Instruct through OpenRouter as of 6 November 2026: DeepInfra. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Qwen2.5 72B Instruct been evaluated on?

Qwen2.5 72B Instruct has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1303 (#288 of 419) and Arena coding 1355 (#269 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Qwen2.5 72B Instruct compare with Qwen2.5 Coder 32B Instruct?

Qwen2.5 72B Instruct ranks #249 (Index 27.6) and Qwen2.5 Coder 32B Instruct ranks #278 (Index 22.4) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Qwen2.5 72B Instruct released?

Qwen2.5 72B Instruct first appeared in the catalogue on 19 Sept 2024, with a published knowledge cutoff of 2024-06-30. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.