Pixtral Large vs Kimi K2.5

At a Glance

Compare
Pixtral LargeMistral AI
Kimi K2.5Moonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.45Deepinfra · Aug 29, 2026
Output priceFrom · USD / 1M tokensNot reported$2.25Deepinfra · Aug 29, 2026
Context windowMaximum documented tokens131K262K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldPixtral LargeKimi-K2.5
DeveloperMistral AIMoonshot AI
FamilyPixtral LargeKimi K2 5
ModelPixtral LargeKimi-K2.5
VersionPixtral LargeKimi-K2.5
Lifecycledeprecatedactive
Released2024-11-182026-01-27
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, DocumentText, Image
Output modalitiesTextText
Context window131K262K
Total parametersUnknown1T
Active parametersUnknown32B
LicenseUnknownother
Open weightsNoYes
API availableNoYes
Self-hostableNoYes
Provider accessUnknownDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, structured_outputs, tools, visionchat, generation, reasoning, tools

Pixtral Large Capabilities

chatgenerationstructured outputstoolsvision
Serving providers0
Canonical IDmistralai/pixtral-large-2411

Kimi K2.5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDmoonshotai/Kimi-K2.5

Primary Evidence

Sources and Freshness

Questions

Pixtral Large vs Kimi K2.5 FAQs

Is Pixtral Large or Kimi K2.5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Pixtral Large and Kimi K2.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Pixtral Large or Kimi K2.5?+

Only Kimi K2.5 has a directly sourced input price: $0.45 per million tokens. Only Kimi K2.5 has a directly sourced output price: $2.25 per million tokens.

Which has a larger context window, Pixtral Large or Kimi K2.5?+

Kimi K2.5 has the larger sourced context window. Pixtral Large supports 131K and Kimi K2.5 supports 262K.

Which performs better in benchmarks, Pixtral Large or Kimi K2.5?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Pixtral Large or Kimi K2.5 be self-hosted?+

Kimi K2.5 is the only model in this pair currently marked as self-hostable. Pixtral Large is not marked open weight; Kimi K2.5 is open weight.

Can Pixtral Large and Kimi K2.5 understand images?+

Pixtral Large is documented with image input; Kimi K2.5 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Pixtral Large or Kimi K2.5?+

Neither has a larger sourced maximum output. Pixtral Large is — and Kimi K2.5 is —.

Do Pixtral Large and Kimi K2.5 support reasoning and tool use?+

Pixtral Large: tool calling and image input. Kimi K2.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Pixtral Large or Kimi K2.5?+

Pixtral Large has 0 sourced provider routes; Kimi K2.5 has 3, so Kimi K2.5 has broader tracked availability.

Which offers better value, Pixtral Large or Kimi K2.5?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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