Llama 4 Scout 17B 16E Instruct vs GPT-4.1 Mini
At a Glance
| Compare |  GPT-4.1 MiniOpenAI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.10Deepinfra ↗ · Sep 22, 2026 | $0.20Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 22, 2026 | $0.80Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 10,000K | 1,048K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 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 | Llama-4-Scout-17B-16E-Instruct | GPT-4.1 Mini |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 28.1395% of row best · percent · Llama-4-Scout-17B-16E-Instruct (FC) | 29.73100% of row best · percent · GPT-4.1-mini-2025-04-14 (Prompt) |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,279.2995% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 259 | 1,340.21100% of row best · rating · gpt-4.1-mini-2025-04-14; 95% CI [1335.90652651, 1344.51787032]; votes 38631; rank 199 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,117.8095% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1108.35603674, 1127.24229078]; votes 6466; rank 114 | 1,181.06100% of row best · rating · gpt-4.1-mini-2025-04-14; 95% CI [1173.58575943, 1188.53044654]; votes 40274; rank 88 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 3 benchmark winsOverall lead |
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 | Llama-4-Scout-17B-16E-Instruct | GPT-4.1 Mini |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Llama 4 Scout 17b 16e Instruct | Gpt 4 1 |
| Model | Llama-4-Scout-17B-16E-Instruct | GPT-4.1 Mini |
| Version | Llama-4-Scout-17B-16E-Instruct | GPT-4.1 Mini |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 10,000K | 1,048K |
| Total parameters | 108.6B | Unknown |
| Active parameters | 17B | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Llama 4 Scout 17B 16E Instruct Capabilities
GPT-4.1 Mini Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Scout 17B 16E Instruct vs GPT-4.1 Mini FAQs
Is Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E Instruct and GPT-4.1 Mini, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini?+
Llama 4 Scout 17B 16E Instruct is $0.10 and GPT-4.1 Mini is $0.20 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric. Llama 4 Scout 17B 16E Instruct is $0.30 and GPT-4.1 Mini is $0.80 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric.
Which has a larger context window, Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Llama 4 Scout 17B 16E Instruct supports 10,000K and GPT-4.1 Mini supports 1,048K.
Which performs better in benchmarks, Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini?+
GPT-4.1 Mini leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini be self-hosted?+
Llama 4 Scout 17B 16E Instruct is the only model in this pair currently marked as self-hostable. Llama 4 Scout 17B 16E Instruct is open weight; GPT-4.1 Mini is not marked open weight.
Can Llama 4 Scout 17B 16E Instruct and GPT-4.1 Mini understand images?+
Llama 4 Scout 17B 16E Instruct is documented with image input; GPT-4.1 Mini is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini?+
Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E Instruct is — and GPT-4.1 Mini is 33K.
Do Llama 4 Scout 17B 16E Instruct and GPT-4.1 Mini support reasoning and tool use?+
Llama 4 Scout 17B 16E Instruct: tool calling and image input. GPT-4.1 Mini: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini?+
Llama 4 Scout 17B 16E Instruct has 4 sourced provider routes; GPT-4.1 Mini has 2, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.
Which offers better value, Llama 4 Scout 17B 16E Instruct or GPT-4.1 Mini?+
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.