Decision support

Qwen3 8B vs Sarvam-M

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

Qwen3 8B

Alibaba

Sources:models.dev

Sarvam-M

Sarvam AI

Sources:models.dev

Benchmark results

  • GPQA diamond

    Best published score · Higher is better

    • Qwen3 8B
      56.8%
      #125 of 161
    • Sarvam-M
      Not reported
    Runs and sources
    Qwen3 8B
    • none47.5%
    • default56.8%
    Sarvam-M

    Not reported

  • OTIS Mock AIME 2024-2025

    Best published score · Higher is better

    • Qwen3 8B
      56.1%
      #116 of 158
    • Sarvam-M
      Not reported
    Runs and sources
    Qwen3 8B
    • none22.2%
    • default56.1%
    Sarvam-M

    Not reported

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.

Model specifications

Release date
April 29, 2025
May 20, 2025
Context window
33K
33K
Native context
—
—
Max output tokens
32,768
32,768
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
8B
23.6B

API pricing · USD per 1M tokens

Input
—
—
Output
—
—
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text
text
Output modalities
text
text
Tool calling
Supported
—
Reasoning option
Supported
Supported
Supported options
tools, reasoning, temperature
reasoning, temperature
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
—
Instruction format
—
—
License
Apache-2.0
Apache 2.0
Providers
0
0
Provider endpoints
0
0
Ollama variants
0
0
Metadata source
ai-research
ai-research

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

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