Compare / head-to-head
Phi-4 Multimodal InstructvsQwen3.8-Flash-Next
Phi-4 Multimodal Instruct and Qwen3.8-Flash-Next do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Qwen3.8-Flash-Next has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
—
list price, input + output
Larger context
Qwen3.8-Flash-Next
1M tokens
Provider uptime (30d)
— · —
Microsoft · Qwen
Phi-4 Multimodal Instruct
Microsoft · released 2025-02-26
textvisionaudio
- Context
- 128K
- Max out
- 4K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 19 · 0 core
textvision
- Context
- 1M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 13 · 4 core
Quality
Benchmark matrix
0 shared · 19 only Phi-4 Multimodal Instruct · 13 only Qwen3.8-Flash-Next| Benchmark | Phi-4 Multimodal Instruct | Qwen3.8-Flash-Next | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only Phi-4 Multimodal Instruct reports · 19 | ||||
| AI2D | 82.3% ↗ | not reported | — | — |
| BLINK | 61.3% ↗ | not reported | — | — |
| ChartQA | 81.4% ↗ | not reported | — | — |
| DocVQA | 93.2% ↗ | not reported | — | — |
| InfoVQA | 72.7% ↗ | not reported | — | — |
| InterGPS | 48.6% ↗ | not reported | — | — |
| MathVista testmini | 62.4% ↗ | not reported | — | — |
| MMBench (dev-en) | 86.7% ↗ | not reported | — | — |
| MMMU | 55.1% ↗ | not reported | — | — |
| MMMU-Pro (standard/vision) | 38.5% ↗ | not reported | — | — |
| OCRBench | 84.4% ↗ | not reported | — | — |
| POPE | 85.6% ↗ | not reported | — | — |
| ScienceQA Visual | 97.5% ↗ | not reported | — | — |
| Speech AI2D | 68.9% ↗ | not reported | — | — |
| Speech ChartQA | 69% ↗ | not reported | — | — |
| Speech DocVQA | 87.3% ↗ | not reported | — | — |
| Speech InfoVQA | 63.7% ↗ | not reported | — | — |
| TextVQA (val) | 75.6% ↗ | not reported | — | — |
| Video-MME (16 frames) | 55% ↗ | not reported | — | — |
| Only Qwen3.8-Flash-Next reports · 13 | ||||
| GPQA Diamond | not reported | 91.7% ↗ | — | — |
| Agents' Last Exam Pass@1 | not reported | 24.3% ↗ | — | — |
| Agents' Last Exam Score | not reported | 51.2 ↗ | — | — |
| CoWorkBench | not reported | 73.9% ↗ | — | — |
| DeepSWE 1.1 | not reported | 58.7% ↗ | — | — |
| Humanity's Last Exam | not reported | 35.9% ↗ | — | — |
| IFBench | not reported | 81.3% ↗ | — | — |
| JobBench | not reported | 55.7% ↗ | — | — |
| LiveCodeBench v6 | not reported | 91.9% ↗ | — | — |
| NL2Repo-Bench | not reported | 48.1% ↗ | — | — |
| SWE-bench Multilingual | not reported | 81% ↗ | — | — |
| SWE-bench Pro | not reported | 62.5% ↗ | — | — |
| Toolathlon Verified | not reported | 73.5% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Phi-4 Multimodal Instruct minus Qwen3.8-Flash-Next in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Phi-4 Multimodal Instruct | Qwen3.8-Flash-Next | Edge |
|---|---|---|---|
| Context window | 128K tokens | 1M tokens | Qwen3.8-Flash-Next |
| Max output | 4K tokens | — | — |
| Input price / 1M | — | — | — |
| Output price / 1M | — | — | — |
| Cached input / 1M | — | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | — | — |
| Modalities | text · vision · audio | text · vision | Phi-4 Multimodal Instruct |
| Released | 2025-02-26 | — | — |
| Cited benchmark scores | 19 | 13 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Phi-4 Multimodal Instruct vs …
Models sharing the most benchmarksMore matchups
Qwen3.8-Flash-Next vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Phi-4 Multimodal Instruct and Qwen3.8-Flash-Next on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.