Phi-3-mini-128k-instruct: benchmark scores, price and ranking
Phi-3-mini-128k-instruct from microsoft ranks #527 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- microsoft
- Type
- Open-weight / local model
- Open weights
- Yes
- Cheapest API price
- $0.130 in / $0.520 out per million tokens (via azure_ai, observed 2026-10-13T21:47Z)
- Aggregate rank
- #527 of 743 (score 46.3)
Across the 1 benchmark where at least ten models are scored, Phi-3-mini-128k-instruct is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.130 per million tokens, is lower than that of 76% of the 427 models with a listed price.
Phi-3-mini-128k-instruct benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 43.9% | #89 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Phi-3-mini-128k-instruct
Phi-3-mini-128k-instruct is an open-weight model that can run on your own hardware from microsoft. The cheapest API listing we track charges $0.130 per million input tokens and $0.520 per million output tokens, through azure_ai. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Phi-3-mini-128k-instruct stands
On our aggregate score, Phi-3-mini-128k-instruct is #527 of 743 ranked models, in the lower half. Its score is 46.3; the scale is centred on 50, so it sits 3.7 points below the typical model. That beats 29% of the ranked field. Among the 4 ranked microsoft models it is #3. The next one up is Phi-3.5-mini-instruct at 46.5. The next one down is Phi-4-mini-instruct at 41.8.
Phi-3-mini-128k-instruct, benchmark by benchmark
Phi-3-mini-128k-instruct lands below the middle on MMLU-Pro: 43.9%, #89 of 136, with 65% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Qwen2.5-7B at 45.0%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Phi-3-mini-128k-instruct is 11.4 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Phi-3-mini-128k-instruct costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on mimo-v2.5 ($0.140) and Magistral Small ($0.150).
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #524 gemini-1.5-flash-8b-exp-0924 (46.4)
- #525 ollama/mistral-small (46.4)
- #526 mistral-small-3.2-2506 (46.4)
- #528 DeepSeek Chat V2.5 (46.3)
- #529 qwen1.5-110b-chat (46.3)
- #530 Qwen2.5-3B (46.3)
More from microsoft
- Phi-3-medium-4k-instruct (#321, 48.8)
- Phi-3.5-mini-instruct (#507, 46.5)
- Phi-4-mini-instruct (#721, 41.8)
Compare it on the live leaderboard → · How the aggregate score works