Microsoft
Microsoft Research Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses are needed. At 14 billion...
Running this yourself: desktop gpu should be enough.
OpenRouter
Price record: 2026-10-04. Source: openrouter.
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59.8
Quality Score
1221
Arena ELO
15B
Parameters
16K
Context
This measures the amount of verifiable public evidence we have, not how capable the model is. A missing field means it has not been verified yet, not that its value is zero.
19 of 22 public signals
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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472.3K
Downloads
2.3K
Likes
Jan 2025
Released
5/5 signals
4/4 signals
5/5 signals
2/4 signals
3/4 signals
Parameters
14B
Training compute
9.3e23 FLOP
Dataset scale
Not reported
Base model
Not reported
Source-reported access: Open weights (unrestricted) · Confident confidence
Gaps we are still tracking
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
unsloth/phi-4 — Open LLM Leaderboard #217
Avg: 40.7 | IFEval: 68.8 | BBH: 55.3 | MATH: 50.0 | GPQA: 11.5 | MMLU-PRO: 48.6
View sourcePhi-4 Benchmark Update
Quality: 5.9/100 | Price: $0.219/M tokens | Output: 39.898 tok/s | MMLU: 0.714% | HumanEval: 0.231%
View sourcephi-4 — LiveBench Scores
language: 0.2 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.4
View sourcePhi-4 Benchmark Update
Quality: 5.9/100 | Price: $0.219/M tokens | Output: 31.733 tok/s | MMLU: 0.714% | HumanEval: 0.231%
View sourcephi-4 — LiveBench Scores
language: 0.2 | coding: 0.0 | instruction_following: 1.0 | Overall: 0.4
View sourceunsloth/phi-4 — Open LLM Leaderboard #217
Avg: 40.7 | IFEval: 68.8 | BBH: 55.3 | MATH: 50.0 | GPQA: 11.5 | MMLU-PRO: 48.6
View source1221
ELO Score
1218 - 1225
95% Confidence
+/-4 points
25.2K
Battles
Oct 4, 2026
Last Updated