Gemma 4 26B A4B vs Grok 4.6

Benchmark Performance

Available Benchmarks

BenchmarkGemma 4 26B-A4BGrok 4.6
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie1,434.8699% of row best · rating · gemma-4-26b-a4b; 95% CI [1427.26766156, 1442.45594559]; votes 5814; rank 781,443.75100% of row best · rating · grok-4.6-high; 95% CI [1433.62910542, 1453.86294509]; votes 3453; rank 55
Overall ResultCounted from the protocol-matched rows above · 1 tie0 benchmark winsTied overall0 benchmark winsTied overall

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
xAI · activeGrok 4.6Verified Aug 29, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemma 4 26B-A4BGrok 4.6
DeveloperGoogle DeepMindxAI
FamilyGemma 4Grok 4
ModelGemma 4 26B-A4BGrok 4.6
VersionGemma 4 26B-A4BGrok 4.6
Lifecycleactiveactive
Released2026-03-11Unknown
Knowledge cutoffUnknown2026-02-01
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window262K500K
Total parameters26BUnknown
Active parameters4BUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard)Xai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

13 comparable fields · 9 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

Grok 4.6 Capabilities

chatgenerationreasoningtools
Input price$2.00
Output price$6.00
Serving providers1
Canonical IDxai/grok-4.6

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemma 4 26B A4B vs Grok 4.6 FAQs

Is Gemma 4 26B A4B or Grok 4.6 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 26B A4B and Grok 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemma 4 26B A4B or Grok 4.6?+

Gemma 4 26B A4B is $0.070 and Grok 4.6 is $2.00 per million tokens, so Gemma 4 26B A4B is cheaper on this metric. Gemma 4 26B A4B is $0.34 and Grok 4.6 is $6.00 per million tokens, so Gemma 4 26B A4B is cheaper on this metric.

Which has a larger context window, Gemma 4 26B A4B or Grok 4.6?+

Grok 4.6 has the larger sourced context window. Gemma 4 26B A4B supports 262K and Grok 4.6 supports 500K.

Which performs better in benchmarks, Gemma 4 26B A4B or Grok 4.6?+

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 Grok 4.6 be self-hosted?+

Gemma 4 26B A4B is the only model in this pair currently marked as self-hostable. Gemma 4 26B A4B is open weight; Grok 4.6 is not marked open weight.

Can Gemma 4 26B A4B and Grok 4.6 understand images?+

Gemma 4 26B A4B is documented with image input; Grok 4.6 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemma 4 26B A4B or Grok 4.6?+

Neither has a larger sourced maximum output. Gemma 4 26B A4B is — and Grok 4.6 is —.

Do Gemma 4 26B A4B and Grok 4.6 support reasoning and tool use?+

Gemma 4 26B A4B: reasoning, tool calling, and image input. Grok 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemma 4 26B A4B or Grok 4.6?+

Gemma 4 26B A4B has 4 sourced provider routes; Grok 4.6 has 1, so Gemma 4 26B A4B has broader tracked availability.

Which offers better value, Gemma 4 26B A4B or Grok 4.6?+

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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