Compare · ModelsLive · 2 picked · head to head
Qwen2 7B Instruct vs Qwen2 VL 7B Instruct
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen2 7B Instruct wins on 6/11 benchmarks
Qwen2 7B Instruct wins 6 of 11 shared benchmarks. Leads in general · language · math.
Category leads
general·Qwen2 7B Instructknowledge·Qwen2 VL 7B Instructlanguage·Qwen2 7B Instructmath·Qwen2 7B Instructreasoning·Qwen2 VL 7B Instruct
Hype vs Reality
Attention vs performance
Qwen2 7B Instruct
#92 by perf·no signal
Qwen2 VL 7B Instruct
#104 by perf·no signal
Vendor risk
Who is behind the model
Alibaba (Qwen)
$293.0B·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
11 benchmarks · 2 models
Qwen2 7B InstructQwen2 VL 7B Instruct
BBH (HuggingFace)
Qwen2 7B Instruct leads by +1.9
Qwen2 7B Instruct
37.8
Qwen2 VL 7B Instruct
35.9
GPQA
Qwen2 VL 7B Instruct leads by +2.9
Qwen2 7B Instruct
6.4
Qwen2 VL 7B Instruct
9.3
IFEval
Qwen2 7B Instruct leads by +10.8
Qwen2 7B Instruct
56.8
Qwen2 VL 7B Instruct
46.0
MATH Level 5
Qwen2 7B Instruct leads by +7.8
Qwen2 7B Instruct
27.6
Qwen2 VL 7B Instruct
19.9
MMLU-PRO
Qwen2 VL 7B Instruct leads by +2.8
Qwen2 7B Instruct
31.6
Qwen2 VL 7B Instruct
34.4
MUSR
Qwen2 VL 7B Instruct leads by +6.2
Qwen2 7B Instruct
7.4
Qwen2 VL 7B Instruct
13.6
JCommonsenseQA
Qwen2 7B Instruct leads by +1.3
Qwen2 7B Instruct
89.1
Qwen2 VL 7B Instruct
87.8
JMMLU
Qwen2 7B Instruct leads by +0.2
Qwen2 7B Instruct
56.5
Qwen2 VL 7B Instruct
56.3
JNLI
Qwen2 7B Instruct leads by +6.9
Qwen2 7B Instruct
81.3
Qwen2 VL 7B Instruct
74.4
JSQuAD
Qwen2 VL 7B Instruct leads by +0.3
Qwen2 7B Instruct
89.6
Qwen2 VL 7B Instruct
89.9
LLM-JP · Overall
Qwen2 VL 7B Instruct leads by +1.3
Qwen2 7B Instruct
51.7
Qwen2 VL 7B Instruct
53.0
Full benchmark table
| Benchmark | Qwen2 7B Instruct | Qwen2 VL 7B Instruct |
|---|---|---|
BBH (HuggingFace) | 37.8 | 35.9 |
GPQA | 6.4 | 9.3 |
IFEval | 56.8 | 46.0 |
MATH Level 5 | 27.6 | 19.9 |
MMLU-PRO | 31.6 | 34.4 |
MUSR | 7.4 | 13.6 |
JCommonsenseQA | 89.1 | 87.8 |
JMMLU | 56.5 | 56.3 |
JNLI | 81.3 | 74.4 |
JSQuAD | 89.6 | 89.9 |
LLM-JP · Overall | 51.7 | 53.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| Qwen2 7B Instruct | — | — | — | — |
| Qwen2 VL 7B Instruct | — | — | — | — |