AI model comparison

Mistral Small (latest) vs GPT-5.6 Terra

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

Mistral Small (latest) and GPT-5.6 Terra both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.

Side-by-sideReviewed by our team

Mistral AI

Mistral Small (latest)

Efficient Mistral model for fast chat, extraction, and production assistants

Context
256K
Max output
256K
Input / 1M
$0.15
Output / 1M
$0.60
Output speed

Accepts

  • Text input
  • Image input

Produces

  • Text output
VS

OpenAI

GPT-5.6 Terra

OpenAI's mid-tier GPT-5.6 reasoning model with a 1.05M token context window, function calling, and vision, priced between GPT-5.5 and GPT-5.5 Pro.

Context
1.1M
Max output
128K
Input / 1M
$2.00
Output / 1M
$12.00
Output speed

Accepts

  • Text input
  • Image input
  • PDF 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 Mistral Small (latest) leads in recorded data

  • Maximum output: 256K
  • Input price: $0.15
  • Output price: $0.60

Where GPT-5.6 Terra leads in recorded data

  • Context capacity: 1.1M

Context capacity

Higher listed limit

Mistral Small (latest):256K

GPT-5.6 Terra:1.1M

GPT-5.6 Terra

Maximum output

Higher listed limit

Mistral Small (latest):256K

GPT-5.6 Terra:128K

Mistral Small (latest)

Input price

Lower recorded price

Mistral Small (latest):$0.15

GPT-5.6 Terra:$2.00

Mistral Small (latest)

Output price

Lower recorded price

Mistral Small (latest):$0.60

GPT-5.6 Terra:$12.00

Mistral Small (latest)

Output speed

Higher recorded throughput

Mistral Small (latest):

GPT-5.6 Terra:

No complete comparison

Time to first token

Lower recorded latency

Mistral Small (latest):

GPT-5.6 Terra:

No complete comparison

Intelligence Index

Higher directory index

Mistral Small (latest):

GPT-5.6 Terra:

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

SpecificationMistral Small (latest)GPT-5.6 Terra
ProviderMistral AIOpenAI
Model familymistral-smallgpt-terra
Accepted inputstext, imagetext, image, pdf
Produced outputstexttext
Context window256K1.1MRecorded lead
Max output256KRecorded lead128K
Intelligence Index
Input price / 1M$0.15Recorded lead$2.00
Output price / 1M$0.60Recorded lead$12.00
Output speed
Time to first token
Reasoning modeDocumentedDocumented
Tool callingDocumentedDocumented
Image inputDocumentedDocumented
Audio inputNot documentedNot documented
Structured outputNot documentedDocumented
LicenseOpen weightsProprietary
ReleasedMar 16, 2026Jul 9, 2026

Workload guidance

Which model should you choose?

On the published numbers, GPT-5.6 Terra accepts the larger context window and Mistral Small (latest) is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.

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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