Gemma 4 31B vs Llama 4 Scout 17B 16E Instruct
At a Glance
| Compare |  Gemma 4 31BGoogle DeepMind | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.090Openrouter ↗ · Sep 22, 2026 | $0.10Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $0.34Openrouter ↗ · Sep 22, 2026 | $0.30Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 262K | 10,000K |
| Model facts checked | Sep 3, 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
| Benchmark | Gemma 4 31B | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,441.68100% of row best · rating · gemma-4-31b; 95% CI [1434.13929794, 1449.22204224]; votes 5894; rank 64 | 1,279.2989% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 259 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,275.98100% of row best · rating · gemma-4-31b; 95% CI [1269.84273447, 1282.11308989]; votes 35713; rank 33 | 1,117.8088% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1108.35603674, 1127.24229078]; votes 6466; rank 114 |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemma 4 31B | Llama-4-Scout-17B-16E-Instruct |
|---|---|---|
| Developer | Google DeepMind | Meta |
| Family | Gemma 4 | Llama 4 Scout 17b 16e Instruct |
| Model | Gemma 4 31B | Llama-4-Scout-17B-16E-Instruct |
| Version | Gemma 4 31B | Llama-4-Scout-17B-16E-Instruct |
| Lifecycle | active | active |
| Released | 2026-03-11 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 10,000K |
| Total parameters | 31B | 108.6B |
| Active parameters | Unknown | 17B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Cerebras (Standard), Deepinfra (Standard), Google Gemini (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
Gemma 4 31B Capabilities
Llama 4 Scout 17B 16E Instruct Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemma 4 31B vs Llama 4 Scout 17B 16E Instruct FAQs
Is Gemma 4 31B or Llama 4 Scout 17B 16E Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemma 4 31B and Llama 4 Scout 17B 16E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemma 4 31B or Llama 4 Scout 17B 16E Instruct?+
Gemma 4 31B is $0.090 and Llama 4 Scout 17B 16E Instruct is $0.10 per million tokens, so Gemma 4 31B is cheaper on this metric. Gemma 4 31B is $0.34 and Llama 4 Scout 17B 16E Instruct is $0.30 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric.
Which has a larger context window, Gemma 4 31B or Llama 4 Scout 17B 16E Instruct?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Gemma 4 31B supports 262K and Llama 4 Scout 17B 16E Instruct supports 10,000K.
Which performs better in benchmarks, Gemma 4 31B or Llama 4 Scout 17B 16E Instruct?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemma 4 31B or Llama 4 Scout 17B 16E Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Gemma 4 31B is open weight; Llama 4 Scout 17B 16E Instruct is open weight.
Can Gemma 4 31B and Llama 4 Scout 17B 16E Instruct understand images?+
Gemma 4 31B is documented with image input; Llama 4 Scout 17B 16E Instruct is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemma 4 31B or Llama 4 Scout 17B 16E Instruct?+
Neither has a larger sourced maximum output. Gemma 4 31B is — and Llama 4 Scout 17B 16E Instruct is —.
Do Gemma 4 31B and Llama 4 Scout 17B 16E Instruct support reasoning and tool use?+
Gemma 4 31B: reasoning, tool calling, and image input. Llama 4 Scout 17B 16E Instruct: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemma 4 31B or Llama 4 Scout 17B 16E Instruct?+
Gemma 4 31B has 5 sourced provider routes; Llama 4 Scout 17B 16E Instruct has 4, so Gemma 4 31B has broader tracked availability.
Which offers better value, Gemma 4 31B or Llama 4 Scout 17B 16E Instruct?+
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.