Head-to-Head Model Comparison

Gemma 4 31B vs Gemma 4 26B A4B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Gemma 4 31BProfile

Gemma 4 26B A4BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemma 4 31B

Penalaran Bobot Terbuka

Gemma 4 31B dari Google adalah model AI yang dirancang untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, menghadirkan jendela konteks 262K, kecepatan 80 token/detik, indeks kecerdasan 81/100, serta ak

Intelligence Index81 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

68.5%

Google

Gemma 4 26B A4B

Model Dasar Bobot Terbuka

Gemma 4 26B A4B dari Google adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 262K, kecepatan 160 token/detik, indeks kecerdasan 74/100, serta akses gra

Intelligence Index74 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

61%

Perbedaan Utama Sekilas

Both models cost the same under this workload — choose on capability, not price.
Gemma 4 26B A4B is faster at 160 tok/s vs 80 tok/s.
Gemma 4 31B leads on SWE-bench coding (68.5% vs 61.0%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Gemma 4 31B	Gemma 4 26B A4B
Intelligence Index Composite reasoning & knowledge score (0-100)	81	74
Provider	Google	Google
Input Price Cost per million input tokens	$0.00 / 1M	$0.00 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$0.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$0.00 / 1M
Context Window Maximum input + output tokens	262.1K tokens~393 A4 pages of text	262.1K tokens~393 A4 pages of text
Max Output Tokens Per single request	33K	33K
Throughput Speed Tokens generated per second	80 tok/s	160 tok/s
SWE-bench Verified Real-world software engineering	68.5%	61%
GPQA Diamond Graduate-level reasoning	77%	71.5%

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Gemma 4 31B

+7.5% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

Gemma 4 26B A4B

+100% faster generation

Context

Tied

262.1K tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

Gemma 4 31BGemma 4 26B A4B

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

68.5%vs61%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

77%vs71.5%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

84.8%vs80.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1410ptsvs1365pts

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

86%vsN/A

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs160 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Gemma 4 31B0.48s

Gemma 4 26B A4B0.29s

Est. End-to-End Response (500 tokens)TTFT + generation time

Gemma 4 31B6.73s

Gemma 4 26B A4B3.42s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Gemma 4 31B Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Gemma 4 26B A4B Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

These models cost the same under this workload — no savings either way.Break-even

Gemma 4 31B · Strengths & Key Advantages

Jendela konteks 262K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 68.5% · GPQA Diamond 77%)
Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
Bobot terbuka (31B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Gemma 4 26B A4B · Strengths & Key Advantages

Jendela konteks 262K dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 61% · GPQA Diamond 71.5%)
Kecepatan generasi tinggi 160 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
Bobot terbuka (26B (4B MoE)) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Gemma 4 31B	Gemma 4 26B A4B
Cost per Task Estimated USD to finish one task	$0.00	$0.00
Output Tokens / Task Tokens generated per task	12K	8K
Reasoning Tokens / Task Thinking tokens burned per task	6K	3K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Gemma 4 31B vs Gemma 4 26B A4B: Jawaban Cepat (FAQ)

Which is more intelligent, Gemma 4 31B or Gemma 4 26B A4B?

Gemma 4 31B is more intelligent. It scores 81 compared with 74 on the composite Intelligence Index.

Which model is faster?

Gemma 4 26B A4B is faster, generating 160 tokens per second compared with 80 tokens per second.

Which model has lower latency?

Gemma 4 26B A4B has lower latency, with a time to first token of 0.29s compared with 0.48s.

Kesimpulan

Baik Gemma 4 31B (Sangat cocok untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemma 4 26B A4B (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemma 4 31B unggul dalam penalaran dan pemrograman, Gemma 4 26B A4B memberikan kecepatan generasi token lebih tinggi, dan Gemma 4 31B lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemma 4 31B atau Gemma 4 26B A4B?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemma 4 31B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemma 4 31B vs Gemma 4 26B A4B?+

Gemma 4 31B mengenakan biaya $0.00 / $0.00 per 1M token input/output, sedangkan Gemma 4 26B A4B sebesar $0.00 / $0.00. Secara keseluruhan, Gemma 4 31B lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Gemma 4 31B mendukung konteks 262.1K token dibandingkan 262.1K token pada Gemma 4 26B A4B, sementara Gemma 4 26B A4B unggul dalam kecepatan output token per detik.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Feature	Gemma 4 31B	Gemma 4 26B A4B
Official API Model ID (SDK)	models/gemma-4-31b	models/gemma-4-26b-a4b
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-04	2026-04
Knowledge Cutoff	January 2026	January 2026
Architecture	Dense open reasoning transformer with native thinking	Sparse Mixture-of-Experts open transformer (26B total, 4B active)
Parameters	31B	26B (4B active MoE)
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Free across full context window (only KV-cache VRAM scales)	Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Automatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 19 GB VRAM (4-bit Quantized) · 67 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 16 GB VRAM (4-bit Quantized) · 56 GB VRAM (Native BF16)
Safety & Frontier Classification	Google DeepMind Frontier Safety Framework Verified	Google DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text, vision	text, vision
Output Modalities	text	text

Gemma 4 31B vs Gemma 4 26B A4B

Ganti & Bandingkan Model Apa Saja

Gemma 4 31B

Gemma 4 26B A4B

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Gemma 4 31B · Strengths & Key Advantages

Considerations & Trade-offs

Gemma 4 26B A4B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Gemma 4 31B vs Gemma 4 26B A4B: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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