Qwen2-VL-72B-Instruct
qwen2-vl-72b-instruct
Last refreshed 2026-04-18. Next refresh: weekly.
MultimodalVision
Qwen2-VL-72B-Instruct is worth evaluating for vision when its provider route and context window match the workload.
Decision context: Vision task fit, 1 tracked provider route, and research from 2026-01-01.
Use it for
- Teams evaluating vision
- Workloads that can use a 32K context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Strict JSON or tool-calling flows
Cheapest output
$0.900
Fireworks AI per 1M tokens
Provider routes
1
Tracked API hosts
Quality / dollar
Grade B
Ranked by benchmark score divided by cheapest output price
Freshness
2026-01-01
Researched 137d ago
stale
Top use-case fit
Vision
Q/$ B1 relevant benchmark in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.900 | $0.900 | Serverless |
Benchmark peer barsfor Vision
Migration checks
No linked migration route is available for this model yet.
About
Qwen2-VL-72B-Instruct has a 32K-token context window.
Qwen2-VL-72B-Instruct input tokens at $0.9/1M, output at $0.9/1M.
Capabilities
VisionMultimodal
Benchmark Scores(1)
Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Massive Multi-discipline Multimodal Understanding | 64.5 | — | https://mmmu-benchmark.github.io/ |
