Preference · Together AI

Mixtral Turbo Base on Arena Elo: score, rank and what it means

Mixtral Turbo Base scores 1355.8 on Arena Elo, placing it #354 of 600 models in the index. The benchmark average is 1349.9 and the leader is Claude Opus 4.5 Max at 1501.9.

Score
1355.8
0–100 scale
Rank
#354
of 600
Percentile
41th
within the index
Benchmark avg
1349.9
all models
Leader
1501.9
Claude Opus 4.5 Max
Gap to leader
146.1
points

Score distribution

The chart shows the top 10 models on Arena Elo, with Mixtral Turbo Base highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Max 1501.9
GPT-5.2 Reasoning 1500.4
GPT-5.2 Turbo 1500.3
Claude Opus 4.5 Reasoning 1497.5
GPT-5.2 Max 1495.3
Gemini 3 Pro Turbo 1494.9
Grok 4 Max 1491.4
Claude Opus 4.5 1491.2
GPT-5.1 Pro 1490.0
Grok 4 Reasoning 1487.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
2 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
3 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
6 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
7 Grok 4 Max xAI 2000000 $19.70 86.6
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
10 Grok 4 Reasoning xAI 2000000 $19.67 87.8

What this score means

On Arena Elo, Mixtral Turbo Base sits at #354 of 600. The leader, Claude Opus 4.5 Max, scores 1501.9, so the gap to the top is 146.1 points. The median model in this index scores 1373.8, which puts Mixtral Turbo Base below the midpoint.

Together AI models average 1312.2 on this benchmark. Mixtral Turbo Base is 43.6 points above that provider line, so it is a stronger result than the average Together AI model.

Among open-weight models, the average is 1338.0. Mixtral Turbo Base is 17.8 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 1355.8 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 $2.53 per million input tokens, Mixtral Turbo Base is below the median input price of $4.00 across the 600 models scored on Arena Elo. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-3.5 Microsoft 16384 $2.81 70.9
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Auto Pro OpenRouter 8192 $8.41 71.2
Mixtral Turbo Base Together AI 32768 $2.53 69.7
o3 Nano OpenAI 32768 $7.78 70.6
Sonar Pro Mini Perplexity 8192 $8.02 70.3

Other benchmarks for Mixtral Turbo Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.7 390 35th
GPQA Diamond 63.7 380 37th
SWE-bench Verified 57.9 356 41th
HumanEval 72.9 374 38th
MATH-500 74.0 347 42th
AIME 2025 61.5 378 37th
LiveCodeBench 62.1 347 42th
IFEval 79.5 343 43th
TruthfulQA 74.2 349 42th
HellaSwag 82.8 327 46th
MMMU 67.9 344 43th

FAQ

What score does Mixtral Turbo Base get on Arena Elo?

Mixtral Turbo Base scores 1355.8 on Arena Elo in this index. The benchmark average is 1349.9 and the top score is 1501.9.

How does Mixtral Turbo Base rank on Arena Elo?

It ranks #354 of 600 models, in the 41st percentile. The leader is Claude Opus 4.5 Max at 1501.9.

Is Mixtral Turbo Base good at Arena Elo?

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 Arena Elo score calculated?

Arena Elo is a preference 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 Mixtral Turbo Base cost?

Mixtral Turbo Base costs $2.53 per million input tokens and $10.80 per million output tokens.

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