Granite Guardian 4.1 8B vs Kimi K2 Thinking

At a Glance

Compare
Kimi K2 ThinkingMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.60Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokensNot reported$2.50Openrouter · Sep 23, 2026
Context windowMaximum documented tokens131K262K
Model facts checkedAug 28, 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

Fieldgranite-guardian-4.1-8bKimi-K2-Thinking
DeveloperIBMMoonshot AI
FamilyGranite Guardian 4 1 8bKimi K2 Thinking
Modelgranite-guardian-4.1-8bKimi-K2-Thinking
Versiongranite-guardian-4.1-8bKimi-K2-Thinking
Lifecycleactiveactive
ReleasedUnknown2025-11-06
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window131K262K
Total parameters8.4B1T
Active parametersUnknown32B
Licenseapache-2.0other
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownHugging Face (Standard), Openrouter (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, tools

Granite Guardian 4.1 8B Capabilities

chatgenerationtools
Serving providers0
Canonical IDibm-granite/granite-guardian-4.1-8b

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

Primary Evidence

Sources and Freshness

Questions

Granite Guardian 4.1 8B vs Kimi K2 Thinking FAQs

Is Granite Guardian 4.1 8B or Kimi K2 Thinking better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Granite Guardian 4.1 8B and Kimi K2 Thinking, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Granite Guardian 4.1 8B or Kimi K2 Thinking?+

Only Kimi K2 Thinking has a directly sourced input price: $0.60 per million tokens. Only Kimi K2 Thinking has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Granite Guardian 4.1 8B or Kimi K2 Thinking?+

Kimi K2 Thinking has the larger sourced context window. Granite Guardian 4.1 8B supports 131K and Kimi K2 Thinking supports 262K.

Which performs better in benchmarks, Granite Guardian 4.1 8B or Kimi K2 Thinking?+

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

Can Granite Guardian 4.1 8B or Kimi K2 Thinking be self-hosted?+

Both models have the same recorded self-hosting status: supported. Granite Guardian 4.1 8B is open weight; Kimi K2 Thinking is open weight.

Can Granite Guardian 4.1 8B and Kimi K2 Thinking understand images?+

Granite Guardian 4.1 8B is not documented with image input; Kimi K2 Thinking is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Granite Guardian 4.1 8B or Kimi K2 Thinking?+

Neither has a larger sourced maximum output. Granite Guardian 4.1 8B is — and Kimi K2 Thinking is 131K.

Do Granite Guardian 4.1 8B and Kimi K2 Thinking support reasoning and tool use?+

Granite Guardian 4.1 8B: tool calling. Kimi K2 Thinking: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Granite Guardian 4.1 8B or Kimi K2 Thinking?+

Granite Guardian 4.1 8B has 0 sourced provider routes; Kimi K2 Thinking has 2, so Kimi K2 Thinking has broader tracked availability.

Which offers better value, Granite Guardian 4.1 8B or Kimi K2 Thinking?+

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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