Gemma 4 26B A4B vs Kimi K3

Benchmark Performance

Available Benchmarks

BenchmarkGemma 4 26B-A4BKimi-K3
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,434.8697% of row best · rating · gemma-4-26b-a4b; 95% CI [1427.26766156, 1442.45594559]; votes 5814; rank 781,476.31100% of row best · rating · kimi-k3-max; 95% CI [1470.86166728, 1481.76254962]; votes 17895; rank 16
Overall ResultCounted from the protocol-matched rows above0 benchmark wins1 benchmark winOverall lead

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · activeGemma 4 26B A4BVerified Sep 3, 2026
Moonshot AI · activeKimi K3Verified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemma 4 26B-A4BKimi-K3
DeveloperGoogle DeepMindMoonshot AI
FamilyGemma 4Kimi K3
ModelGemma 4 26B-A4BKimi-K3
VersionGemma 4 26B-A4BKimi-K3
Lifecycleactiveactive
Released2026-03-112026-07-16
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K1,049K
Total parameters26B2.8T
Active parameters4B104B
Licenseapache-2.0other
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessDeepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning

17 comparable fields · 11 material differences · Pair passes the primary-source comparison gate

Gemma 4 26B A4B Capabilities

chatgenerationreasoningstructured outputstools
Input price$0.070
Output price$0.34
Serving providers4
Canonical IDgoogle/gemma-4-26B-A4B-it

Kimi K3 Capabilities

chatgenerationreasoning
Input price$2.85
Output price$14.25
Serving providers5
Canonical IDmoonshotai/Kimi-K3

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemma 4 26B A4B vs Kimi K3 FAQs

Is Gemma 4 26B A4B or Kimi K3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 26B A4B or Kimi K3?+

Gemma 4 26B A4B is $0.070 and Kimi K3 is $2.85 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Gemma 4 26B A4B is $0.34 and Kimi K3 is $14.25 per million tokens, so Gemma 4 26B A4B is cheaper on this metric.

Which has a larger context window, Gemma 4 26B A4B or Kimi K3?+

Kimi K3 has the larger sourced context window. Gemma 4 26B A4B supports 262K and Kimi K3 supports 1,049K.

Which performs better in benchmarks, Gemma 4 26B A4B or Kimi K3?+

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

Can Gemma 4 26B A4B or Kimi K3 be self-hosted?+

Both models have the same recorded self-hosting status: supported. Gemma 4 26B A4B is open weight; Kimi K3 is open weight.

Can Gemma 4 26B A4B and Kimi K3 understand images?+

Gemma 4 26B A4B is documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 26B A4B or Kimi K3?+

Neither has a larger sourced maximum output. Gemma 4 26B A4B is — and Kimi K3 is —.

Do Gemma 4 26B A4B and Kimi K3 support reasoning and tool use?+

Gemma 4 26B A4B: reasoning, tool calling, and image input. Kimi K3: reasoning and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 26B A4B or Kimi K3?+

Gemma 4 26B A4B has 4 sourced provider routes; Kimi K3 has 5, so Kimi K3 has broader tracked availability.

Which offers better value, Gemma 4 26B A4B or Kimi K3?+

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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