SSyncDev

AI model comparison

GPT-4o vs Qwen 2.5 72b Instruct

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This GPT-4o vs Qwen 2.5 72b Instruct comparison is designed for teams choosing between two production model records, not for declaring a universal winner. GPT-4o by OpenAI currently records 128K context, 16.4K maximum output, $2.50 input per 1M tokens, $10.00 output per 1M tokens, 110 t/s recorded output speed, 0.42s recorded time to first token. Qwen 2.5 72b Instruct by Novita via Requesty records 32K context, $0.38 input per 1M tokens, $0.40 output per 1M tokens. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

OpenAI

GPT-4o

OpenAI's omni-era workhorse — text and image in, text out, with a cached-input rate that halves the cost of repeated context.

Context
128K
Max output
16.4K
Input / 1M
$2.50
Output / 1M
$10.00
Output speed
110 t/s

Accepts

  • Text input
  • Image input
  • Audio input

Produces

  • Text output
Full model profileVendor docs ↗
VS

Novita via Requesty

Qwen 2.5 72b Instruct

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters.

Context
32K
Max output
—
Input / 1M
$0.38
Output / 1M
$0.40
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where GPT-4o leads in recorded data

  • Context capacity: 128K

Where Qwen 2.5 72b Instruct leads in recorded data

  • Input price: $0.38
  • Output price: $0.40

Context capacity

Higher listed limit

GPT-4o:128K

Qwen 2.5 72b Instruct:32K

GPT-4o

Maximum output

Higher listed limit

GPT-4o:16.4K

Qwen 2.5 72b Instruct:—

No complete comparison

Input price

Lower recorded price

GPT-4o:$2.50

Qwen 2.5 72b Instruct:$0.38

Qwen 2.5 72b Instruct

Output price

Lower recorded price

GPT-4o:$10.00

Qwen 2.5 72b Instruct:$0.40

Qwen 2.5 72b Instruct

Output speed

Higher recorded throughput

GPT-4o:110 t/s

Qwen 2.5 72b Instruct:—

No complete comparison

Time to first token

Lower recorded latency

GPT-4o:0.42s

Qwen 2.5 72b Instruct:—

No complete comparison

Intelligence Index

Higher directory index

GPT-4o:77.5

Qwen 2.5 72b Instruct:—

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationGPT-4oQwen 2.5 72b Instruct
ProviderOpenAINovita via Requesty
Model familyGPT-4—
Accepted inputstext, image, audiotext
Produced outputstexttext
Context window128KRecorded lead32K
Max output16.4K—
Intelligence Index77.5—
Input price / 1M$2.50$0.38Recorded lead
Output price / 1M$10.00$0.40Recorded lead
Output speed110 t/s—
Time to first token0.42s—
Reasoning modeNot documentedNot documented
Tool callingDocumentedDocumented
Image inputDocumentedNot documented
Audio inputDocumentedNot documented
Structured outputDocumentedNot documented
LicenseProprietaryNot documented
ReleasedMay 13, 2024Not documented

Workload guidance

Which model should you choose?

GPT-4o currently leads on larger context. Qwen 2.5 72b Instruct currently leads on lower recorded input price, lower recorded output price. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

Open model comparison