Mathematics · Databricks

DBRX Chat on AIME 2025: score, rank and what it means

DBRX Chat scores 67.4 on AIME 2025, placing it #305 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
67.4
0–100 scale
Rank
#305
of 600
Percentile
49th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
24.0
points

Score distribution

The chart shows the top 10 models on AIME 2025, with DBRX Chat highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, DBRX Chat sits at #305 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 24.0 points. The median model in this index scores 67.6, which puts DBRX Chat below the midpoint.

Databricks models average 55.6 on this benchmark. DBRX Chat is 11.8 points above that provider line, so it is a stronger result than the average Databricks model.

Among open-weight models, the average is 61.8. DBRX Chat is 5.7 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 67.4 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 $3.07 per million input tokens, DBRX Chat is below the median input price of $4.00 across the 600 models scored on AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DBRX Instruct Databricks 8192 $3.21 72.4
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Mixtral Groq Groq 16384 $3.37 73.1
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
DBRX Chat Databricks 65536 $3.07 71.7
Gemma 3 Instruct Google DeepMind 128000 $3.72 74.1
Grok 3 Mini xAI 200000 $9.67 73.9

Other benchmarks for DBRX Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.2 326 46th
GPQA Diamond 67.8 313 48th
SWE-bench Verified 60.0 327 46th
HumanEval 73.6 364 39th
MATH-500 73.2 354 41th
LiveCodeBench 64.4 307 49th
IFEval 78.6 361 40th
TruthfulQA 76.9 285 53th
HellaSwag 80.8 374 38th
MMMU 70.4 283 53th
Arena Elo 1372.7 307 49th

FAQ

What score does DBRX Chat get on AIME 2025?

DBRX Chat scores 67.4 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does DBRX Chat rank on AIME 2025?

It ranks #305 of 600 models, in the 49th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is DBRX Chat good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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 DBRX Chat cost?

DBRX Chat costs $3.07 per million input tokens and $16.42 per million output tokens.

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