Noometry

Model comparison

GPT-4 vs Qwen2.5-VL 72B Instruct

GPT-4 and Qwen2.5-VL 72B Instruct score almost the same on the Noometry Index (28.9 vs 29.4), so choose on price, context window or the category you care about most.

Last verified . 0 shared benchmarks.

GPT-4 OpenAI

28.9

Rank #308 Confirmed

Qwen2.5-VL 72B Instruct Alibaba (Qwen)

29.4

Rank #298 Confirmed

Summary

  • Qwen2.5-VL 72B Instruct is cheaper at $2.80 / $8.40 per million input/output tokens, against $30 / $60 for GPT-4.
  • Qwen2.5-VL 72B Instruct accepts more context: 131K tokens versus 8K.
  • Qwen2.5-VL 72B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-4Qwen2.5-VL 72B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index28.929.4
Released2023-03-142024-09
WeightsProprietaryOpen
Context window8K131K
Max output8K8K
Input $ / M tokens$30$2.80
Output $ / M tokens$60$8.40
Results tracked386

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Category by category

Coding Not comparable

GPT-4: 31.2 (#277), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
WeirdML12.4%—
BigCodeBench Instruct46%—
LMArena Coding1254—
BigCodeBench Complete57.2%—
HumanEval+79.3%—

Agentic & Tool Use Not comparable

GPT-4: —, Qwen2.5-VL 72B Instruct: 18.4 (#136)

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
OSWorld—5%
METR Time Horizons36.1%—

Reasoning Qwen2.5-VL 72B Instruct leads

GPT-4: 17.3 (#285), Qwen2.5-VL 72B Instruct: 20.0 (#228)

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
Kagi LLM Benchmark—36%
Chess Puzzles4%—
LMArena Hard Prompts1241—
Mystery Game Puzzles12%—
DTBench62.7%—
LMCA17.1%—
BIG-Bench Hard75.1%—
Epoch Capabilities Index125.88—
ForecastBench57.8—
HellaSwag95.3%—
WinoGrande87.5%—

Math Not comparable

GPT-4: 10.1 (#304), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
OTIS Mock AIME 2024-20251.1%—
LMArena Math1269—
MATH Level 523%—
GSM8K92%—

Knowledge Not comparable

GPT-4: 18.4 (#277), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
GPQA Diamond35.7%—
LMArena Expert1211—
MMLU86.4%—
TriviaQA84.8%—

Multimodal Not comparable

GPT-4: —, Qwen2.5-VL 72B Instruct: 32.9 (#92)

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
LMArena Vision—1107
Video-MME—73.5%
GeoBench—62%
SpatialViz-Bench—33.3%

Multilingual Not comparable

GPT-4: 40.8 (#210), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
LMArena Non-English1246—
LMArena Chinese1242—
LMArena French1282—
LMArena German1251—
LMArena Japanese1209—
LMArena Korean1184—
LMArena Russian1251—
LMArena Spanish1261—

Instruction Following Not comparable

GPT-4: 65.5 (#217), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
LMArena Instruction Following1241—

Long Context Not comparable

GPT-4: 37.7 (#207), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
LMArena Longer Query1244—

Writing & Preference Not comparable

GPT-4: 35.0 (#263), Qwen2.5-VL 72B Instruct: —

BenchmarkGPT-4Qwen2.5-VL 72B Instruct
LMArena Text1263—
LMArena Creative Writing1244—
EQ-Bench Creative Writing752—
LMArena Multi-Turn1257—

Frequently asked questions

Is GPT-4 better than Qwen2.5-VL 72B Instruct?

GPT-4 and Qwen2.5-VL 72B Instruct score almost the same on the Noometry Index (28.9 vs 29.4), so choose on price, context window or the category you care about most.

Which is cheaper, GPT-4 or Qwen2.5-VL 72B Instruct?

Qwen2.5-VL 72B Instruct is cheaper. It lists at $2.80 per million input tokens and $8.40 per million output tokens; GPT-4 lists at $30 and $60.

Which has the bigger context window?

Qwen2.5-VL 72B Instruct does, with 131K tokens against 8K.

How many benchmarks do GPT-4 and Qwen2.5-VL 72B Instruct share?

0 benchmarks have published results for both models. GPT-4 has 38 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.

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