Gemma 4 26B A4B (Non-reasoning)
Output 65 tokens/sFirst token 0.8 sContext 256K tokens
Top 5 cheapest providers (Adjusted $/task)
The same list price can give a different adjusted $/task (caching, token efficiency) — click a price for its inputs.
Within the active global provider, residency and confidentiality filters.
| # | Provider | Platform | Raw input $/1M | Raw output $/1M | Adjusted $/task |
|---|---|---|---|---|---|
| 1 | Makora | OpenRouter | $0.100 | $0.340 | |
| 2 | DekaLLM | OpenRouter | $0.060 | $0.330 | |
| 3 | NextBit | OpenRouter | $0.090 | $0.300 | |
| 4 | DeepInfra | OpenRouter | $0.070 | $0.340 | |
| 5 | Venice | OpenRouter | $0.130 | $0.400 |
Composite
2 of 7 inputs · 1 from the model family6 radar axes: DesignArena's two boards share one26.0
includes −5.1 for its Benchmaxxing signal (from 31.1; why, switch off in Options)
Benchmaxxing signal +5.1, light Benchmaxxing tag, uncertain: The 80 % interval reaches below zero — treat this tag as uncertain · light report →The 80 % interval reaches below zero — treat this tag as uncertain.
AA Coding —Coding Agent v1.4 —AA Intelligence 13.1AA Agentic —Epoch ECI 141.9Software ECI —DesignArena —/—
Radar: percentile among all models measured on each input; a gap means not measured.
Benchmark sheet
11 of 140 registered benchmark versions · bars show the percentile among all models measured on each benchmark.
- Epoch ECI · attached
Agentic
Terminal-Bench Hard (AA)6625.0%
Terminal-Bench Hard (AA) pinned revision 74221fb ↗ · Published board — Tests a pinned 44-task hard subset of terminal-based work using Terminus 2.
Instruction-following
IFBench (AA single-turn)5245.4%
IFBench (AA single-turn) published 2026-09-10 ↗ · Published board — Tests precise single-turn instructions with deterministic rule checks.
Knowledge
Humanity's Last Exam (AA text-only)5911.5%
Humanity's Last Exam (AA text-only) published 2026-09-10 ↗ · Published board — Tests expert-level knowledge on AA's text-only Humanity's Last Exam subset.
AA-Omniscience Index15-62.3
AA-Omniscience Index published 2026-09-10 ↗ · Published board — Tests factual reliability while rewarding correct answers and penalizing hallucinations.
Long-context
AA-LCR v1.14142.3%
AA-LCR v1.1 v1.1 ↗ · Published board — Tests reasoning across multiple long documents with corrected answer keys and grading.
Reasoning
AA Intelligence Index5613.1
AA Intelligence Index published 2026-09-19 ↗ · Published board — Artificial Analysis publishes this board without a version number; we keep the date each result was retained.
Safety/Alignment
BullshitBench V1 (clear pushback)109.1%
BullshitBench V1 (clear pushback) published 2026-09-10 ↗ · Published board — Whether a model rejects the broken premise of 55 deliberately nonsensical prompts (V1 question set) instead of answering them confidently.
BullshitBench V2 (clear pushback)1511.0%
BullshitBench V2 (clear pushback) published 2026-09-10 ↗ · Published board — Whether a model rejects the broken premise of 100 deliberately nonsensical prompts (V2 question set) instead of answering them confidently.
Science
CritPt (AA)240.0%
CritPt (AA) published 2026-09-10 ↗ · Published board — Tests research-level physics reasoning with Python, symbolic and numerical answers.
GPQA Diamond (AA)5171.4%
GPQA Diamond (AA) published 2026-09-10 ↗ · Published board — Tests graduate-level biology, physics and chemistry knowledge on the Diamond subset.
Tool-use
τ²-Bench Telecom (AA)4640.4%
τ²-Bench Telecom (AA) published 2026-09-10 ↗ · Published board — Tests dual-control telecom agents that coordinate tool use with a simulated user.
Vision
MMMU Pro (AA)4566.7%
MMMU Pro (AA) published 2026-09-10 ↗ · Published board — Tests multimodal understanding using challenging ten-option questions.
Missing coverage · 133 benchmark versions
No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.
Variants / reasoning settings
Artificial Analysis snapshot 2026-09-19 · Data: Artificial Analysis · Data: Epoch AI (CC BY)
| Variant | AA Coding | AA Intelligence |
|---|---|---|
| Gemma 4 26B A4B (Reasoning) | 39.3 | 16.7 |
| Gemma 4 26B A4B (Non-reasoning) | — | 13.1 |
Token offers by platform · 12 offers (Adjusted $/task)
Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.
12 offers within the active global filters; “—” means the catalog is active but no public token price is available.
OpenRouter (9)
| Makora | globalmakora | $0.100 raw in $/1M | $0.340 raw out $/1M | |
| DekaLLM | globaldekallm/bf16 | $0.060 raw in $/1M | $0.330 raw out $/1M | |
| NextBit | globalnextbit/bf16EU | $0.090 raw in $/1M | $0.300 raw out $/1M | |
| DeepInfra | globaldeepinfra/fp8 | $0.070 raw in $/1M | $0.340 raw out $/1M | |
| Venice | globalvenice/bf16 | $0.130 raw in $/1M | $0.400 raw out $/1M | |
| Parasail | globalparasail/bf16 | $0.130 raw in $/1M | $0.400 raw out $/1M | |
| Novita | globalnovita/bf16 | $0.130 raw in $/1M | $0.400 raw out $/1M | |
| globalgoogle-vertex/global | $0.150 raw in $/1M | $0.600 raw out $/1M | ||
| SiliconFlow | globalsiliconflow/fp8 | $0.140 raw in $/1M | $0.400 raw out $/1M |
Google Vertex AI (1)
| Google Vertex AI | global | $0.150 raw in $/1M | $0.600 raw out $/1M |
AWS Bedrock (1)
| AWS Bedrock | eu-central-1EU | $0.156 raw in $/1M | $0.480 raw out $/1M |
Scaleway (1)
| Scaleway | euEU | $0.290 raw in $/1M | $0.570 raw out $/1M |