Instruction following · Microsoft

Phi-3.5 Chat on IFEval: score, rank and what it means

Phi-3.5 Chat scores 79.2 on IFEval, placing it #352 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
79.2
0–100 scale
Rank
#352
of 600
Percentile
41th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
16.9
points

Score distribution

The chart shows the top 10 models on IFEval, with Phi-3.5 Chat highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, Phi-3.5 Chat sits at #352 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 16.9 points. The median model in this index scores 81.2, which puts Phi-3.5 Chat below the midpoint.

Microsoft models average 72.4 on this benchmark. Phi-3.5 Chat is 6.8 points above that provider line, so it is a stronger result than the average Microsoft model.

Among open-weight models, the average is 77.0. Phi-3.5 Chat is 2.2 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 79.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $2.64 per million input tokens, Phi-3.5 Chat is below the median input price of $4.00 across the 600 models scored on IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Command A Mini Cohere 8192 $8.12 71.0
Command R+ Base Cohere 65536 $3.24 71.6
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Llama 3 Novita Base Novita AI 8192 $3.06 70.3
Phi-3.5 Chat Microsoft 16384 $2.64 69.0
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
Arctic Snowflake 8192 $2.72 68.8

Other benchmarks for Phi-3.5 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.4 345 43th
GPQA Diamond 64.9 362 40th
SWE-bench Verified 56.6 372 38th
HumanEval 71.0 389 35th
MATH-500 69.0 388 35th
AIME 2025 64.6 346 42th
LiveCodeBench 62.6 340 43th
TruthfulQA 72.4 377 37th
HellaSwag 80.9 373 38th
MMMU 63.7 393 35th
Arena Elo 1338.0 380 37th

FAQ

What score does Phi-3.5 Chat get on IFEval?

Phi-3.5 Chat scores 79.2 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Phi-3.5 Chat rank on IFEval?

It ranks #352 of 600 models, in the 41st percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Phi-3.5 Chat good at IFEval?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the IFEval score calculated?

IFEval is a instruction following benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Phi-3.5 Chat cost?

Phi-3.5 Chat costs $2.64 per million input tokens and $12.13 per million output tokens.

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