Decision support

Tulu 3 70B vs Mistral Large 2.1

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Benchmark results

  • Arena Text

    Arena rating · Higher is better

    • Tulu 3 70B
      Not reported
    • Mistral Large 2.1
      1306
      Arena #285CI 1301 to 1310
    Runs and sources
    Tulu 3 70B

    Not reported

    Mistral Large 2.1
    • default130695% CI 1301 to 1310 · 28,073 votes
  • FrontierMath-2025-02-28-Private

    Best published score · Higher is better

    • Tulu 3 70B
      Not reported
    • Mistral Large 2.1
      0.3%
      #54 of 58
    Runs and sources
    Tulu 3 70B

    Not reported

    Mistral Large 2.1
    • default0.3%
  • GPQA diamond

    Best published score · Higher is better

    • Tulu 3 70B
      Not reported
    • Mistral Large 2.1
      51.3%
      #133 of 161
    Runs and sources
    Tulu 3 70B

    Not reported

    Mistral Large 2.1
    • default51.3%
  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Tulu 3 70B
      Not reported
    • Mistral Large 2.1
      7.8%
      #139 of 158
    Runs and sources
    Tulu 3 70B

    Not reported

    Mistral Large 2.1
    • default7.8%

Each model's best published result is shown; "Not reported" means no matched evaluation, not a score of zero. Arena and DeepSWE ranks are the leaderboards' own; other ranks are among catalogue models with a score. Results from different harnesses or settings are not directly comparable.

Benchmark compilation: Epoch AI, Capabilities & benchmarking (CC BY attribution). Scores are converted to percentages and model names matched to the Vertical Tabs catalog. Individual evaluations are credited to their original sources. External results may carry separate licences and evaluation configurations; do not interpret scores from different harnesses as directly comparable.

Arena ratings: Arena (lmarena-ai/leaderboard-dataset), licensed CC BY 4.0. Ratings come from pairwise human votes and are only comparable within one leaderboard; the interval is Arena's 95% confidence interval. Model names are matched to the Vertical Tabs catalog.

Model specifications

Release date
November 21, 2024
November 18, 2024
Context window
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131K
Native context
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Max output tokens
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16,384
Knowledge cutoff
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2024-11
Open weights
Open weights
Open weights
Parameter count
70.6B
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API pricing · USD per 1M tokens

Input
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Output
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Cached input
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Cache write
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Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
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Supported
Reasoning option
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—
Supported options
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tools, temperature
Capabilities
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Architecture and availability

Architecture
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—
Model families
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—
Tokenizer
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—
Instruction format
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License
Llama 3.1 Community License
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Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
curated
models.dev

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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