SSyncDev

AI model comparison

Aya Expanse 32B vs DeepSeek V4 Flash 0731

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 DeepSeek V4 Flash 0731 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. DeepSeek V4 Flash 0731 by DeepSeek records 1M context, 384K maximum output, $0.16 input per 1M tokens, $0.40 output per 1M tokens. 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
Full model profileVendor docs ↗
VS

DeepSeek

DeepSeek V4 Flash 0731

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

Context
1M
Max output
384K
Input / 1M
$0.16
Output / 1M
$0.40
Output speed
—

Accepts

  • Text input

Produces

  • Text output
Full model profileVendor docs ↗

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 DeepSeek V4 Flash 0731 leads in recorded data

  • Context capacity: 1M
  • Maximum output: 384K

Context capacity

Higher listed limit

Aya Expanse 32B:128K

DeepSeek V4 Flash 0731:1M

DeepSeek V4 Flash 0731

Maximum output

Higher listed limit

Aya Expanse 32B:4K

DeepSeek V4 Flash 0731:384K

DeepSeek V4 Flash 0731

Input price

Lower recorded price

Aya Expanse 32B:—

DeepSeek V4 Flash 0731:$0.16

No complete comparison

Output price

Lower recorded price

Aya Expanse 32B:—

DeepSeek V4 Flash 0731:$0.40

No complete comparison

Output speed

Higher recorded throughput

Aya Expanse 32B:—

DeepSeek V4 Flash 0731:—

No complete comparison

Time to first token

Lower recorded latency

Aya Expanse 32B:—

DeepSeek V4 Flash 0731:—

No complete comparison

Intelligence Index

Higher directory index

Aya Expanse 32B:—

DeepSeek V4 Flash 0731:—

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 32BDeepSeek V4 Flash 0731
ProviderCohereDeepSeek
Model family—deepseek-flash
Accepted inputstexttext
Produced outputstexttext
Context window128K1MRecorded lead
Max output4K384KRecorded lead
Intelligence Index——
Input price / 1M—$0.16
Output price / 1M—$0.40
Output speed——
Time to first token——
Reasoning modeNot documentedDocumented
Tool callingNot documentedDocumented
Image inputNot documentedNot documented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsOpen weights
ReleasedOct 24, 2024Jul 31, 2026

Workload guidance

Which model should you choose?

Aya Expanse 32B has no complete recorded factor that establishes a lead. DeepSeek V4 Flash 0731 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.

Open model comparison