Compare

Devstral Small 2507 vs GPT-3.5 Turbo

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

Mistral AI

Model

Devstral Small 2507

Tool calling

Best $0.100 in · $0.300 out

Context window 128K

Pricing
OpenAI

Model

GPT-3.5 Turbo

Tool calling

Best $0.500 in · $1.50 out

Context window 16K

Pricing

Devstral Small 2507 is cheaper across the board — 80% cheaper on input and 80% cheaper on output.

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

ProviderDevstral Small 2507 inDevstral Small 2507 outGPT-3.5 Turbo inGPT-3.5 Turbo out
AzureN/AN/A$0.500$1.50
Github CopilotN/AN/AN/AN/A
Mistral AI$0.100$0.300N/AN/A
OpenAIN/AN/A$0.500$1.50
OpenrouterN/AN/A$1.50$2.00
Text Completion OpenaiN/AN/A$1.50$2.00
Vercel Ai GatewayN/AN/A$0.500$1.50

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Mistral AI · OpenAI

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Mistral AI · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

OpenAI · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec
Devstral Small 2507
GPT-3.5 Turbo
Context window
128,000 tokens
16,385 tokens
Max output tokens
128,000 tokens
4,096 tokens
Vision
No
No
Function calling
Yes
Yes
Streaming
No
No
Release date
N/A
May 2023

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Devstral Small 2507
Monthly
$75
Annual
$913
GPT-3.5 Turbo
Monthly
$375
Annual
$4.6K
Save $300/month with Devstral Small 2507

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

  • Long-context tasks

    Use Devstral Small 2507. Its 128K context window handles large codebases and documents better than 16K.

  • High-volume text generation

    Use Devstral Small 2507. Output tokens are 80% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use Devstral Small 2507. Its 128K max output limit reduces the need to split requests.

Frequently asked questions

Devstral Small 2507 is cheaper on both input and output tokens.

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