AI model comparison

Aya Expanse 32B vs Gemini 1.5 Pro

Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.

This Aya Expanse 32B vs Gemini 1.5 Pro comparison is designed for teams choosing between two production model records, not for declaring a universal winner. Aya Expanse 32B by Cohere currently records 128K context, 4K maximum output. Gemini 1.5 Pro by Google records 2M context, 8.2K maximum output, $1.25 input per 1M tokens, $5.00 output per 1M tokens, 65 t/s recorded output speed, 0.90s recorded time to first token. The tables below separate documented capabilities, commercial limits, directory measurements, and source-linked benchmark evidence so you can see where the data is complete and where independent testing is still required.

Side-by-sideSpecs and pricing, compared

Cohere

Aya Expanse 32B

Open multilingual model optimized for generation across 23 languages

Context
128K
Max output
4K
Input / 1M
Output / 1M
Output speed

Accepts

  • Text input

Produces

  • Text output
VS

Google

Gemini 1.5 Pro

Google's long-context multimodal model with up to 2M token windows.

Context
2M
Max output
8.2K
Input / 1M
$1.25
Output / 1M
$5.00
Output speed
65 t/s

Accepts

  • Text input
  • Image input
  • Audio input
  • Video input

Produces

  • Text output

At a glance

Decision snapshot

This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.

Where Aya Expanse 32B leads in recorded data

No complete recorded factor currently favors this model. That does not establish lower real-world quality.

Where Gemini 1.5 Pro leads in recorded data

  • Context capacity: 2M
  • Maximum output: 8.2K

Context capacity

Higher listed limit

Aya Expanse 32B:128K

Gemini 1.5 Pro:2M

Gemini 1.5 Pro

Maximum output

Higher listed limit

Aya Expanse 32B:4K

Gemini 1.5 Pro:8.2K

Gemini 1.5 Pro

Input price

Lower recorded price

Aya Expanse 32B:

Gemini 1.5 Pro:$1.25

No complete comparison

Output price

Lower recorded price

Aya Expanse 32B:

Gemini 1.5 Pro:$5.00

No complete comparison

Output speed

Higher recorded throughput

Aya Expanse 32B:

Gemini 1.5 Pro:65 t/s

No complete comparison

Time to first token

Lower recorded latency

Aya Expanse 32B:

Gemini 1.5 Pro:0.90s

No complete comparison

Intelligence Index

Higher directory index

Aya Expanse 32B:

Gemini 1.5 Pro:75.8

No complete comparison

Evidence

Verified shared benchmarks

A score appears only when both records include a verified source. It is not treated as a universal ranking.

These two models haven't been measured on the same benchmark yet, so there's nothing meaningful to chart. Comparing scores from different tests would tell you more about the tests than the models — the specs and pricing above are the better guide here.

Specifications

Pricing, limits and capabilities

SpecificationAya Expanse 32BGemini 1.5 Pro
ProviderCohereGoogle
Model familyGemini 1.5
Accepted inputstexttext, image, audio, video
Produced outputstexttext
Context window128K2MRecorded lead
Max output4K8.2KRecorded lead
Intelligence Index75.8
Input price / 1M$1.25
Output price / 1M$5.00
Output speed65 t/s
Time to first token0.90s
Reasoning modeNot documentedNot documented
Tool callingNot documentedDocumented
Image inputNot documentedDocumented
Audio inputNot documentedDocumented
Structured outputNot documentedDocumented
LicenseOpen weightsProprietary
ReleasedOct 24, 2024May 14, 2024

Workload guidance

Which model should you choose?

Aya Expanse 32B has no complete recorded factor that establishes a lead. Gemini 1.5 Pro currently leads on larger context, larger maximum output. Choose according to the constraints that matter to your workload, then run the same representative prompts against both models before making a production commitment. Neither the larger number nor the lower price is automatically the better choice: prompt quality, tool reliability, modality support, rate limits, data policy, and provider implementation can change the result. Use this page to build a shortlist, confirm current terms in the linked sources, and validate quality, latency, and cost with your own traffic.

Provenance

Sources and data limits

Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.

Questions people ask

It compares recorded context and output limits, token prices, output speed, time to first token, Intelligence Index, modality support, tool and structured-output capabilities, release information, and only source-linked benchmarks verified on both records. Missing information is labeled rather than inferred.

Compare a different pair

Choose any two approved model records and review them with the same evidence rules.

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