Llama-4-Scout-17B-16E-Instruct vs GPT-4o Mini
Benchmark Performance
Available Benchmarks
| Benchmark | Llama-4-Scout-17B-16E-Instruct | GPT-4o Mini |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,279.2599% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.53478136, 1283.95578792]; votes 29739; rank 255 | 1,286.22100% of row best · rating · gpt-4o-mini-2024-07-18; 95% CI [1282.70478675, 1289.73790661]; votes 68698; rank 245 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,118.08100% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1108.62969338, 1127.52426769]; votes 6467; rank 110 | 1,065.6395% of row best · rating · gpt-4o-mini-2024-07-18; 95% CI [1057.40637002, 1073.85507682]; votes 17341; rank 118 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Llama-4-Scout-17B-16E-Instruct | GPT-4o Mini |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Llama 4 Scout 17b 16e Instruct | Gpt 4o |
| Model | Llama-4-Scout-17B-16E-Instruct | GPT-4o Mini |
| Version | Llama-4-Scout-17B-16E-Instruct | GPT-4o Mini |
| Lifecycle | active | active |
| Released | 2025-04-05 | Unknown |
| Knowledge cutoff | Unknown | 2023-10-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 10,000,000 | 128,000 |
| Total parameters | 108,641,793,536 | Unknown |
| Active parameters | 17,000,000,000 | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Openrouter (Standard) | OpenAI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Llama-4-Scout-17B-16E-Instruct Capabilities
GPT-4o Mini Capabilities
Internal Comparison Graph
Related Comparisons
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Primary Evidence
Sources and Freshness
Questions
Llama-4-Scout-17B-16E-Instruct vs GPT-4o Mini FAQs
Is Llama-4-Scout-17B-16E-Instruct or GPT-4o 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-4o 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-4o Mini?+
Llama-4-Scout-17B-16E-Instruct is $0.10 and GPT-4o Mini is $0.15 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-4o Mini is $0.60 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-4o Mini?+
Llama-4-Scout-17B-16E-Instruct has the larger sourced context window. Llama-4-Scout-17B-16E-Instruct supports 10,000,000 and GPT-4o Mini supports 128,000.
Which performs better in benchmarks, Llama-4-Scout-17B-16E-Instruct or GPT-4o Mini?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Llama-4-Scout-17B-16E-Instruct or GPT-4o 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-4o Mini is not marked open weight.
Can Llama-4-Scout-17B-16E-Instruct and GPT-4o Mini understand images?+
Llama-4-Scout-17B-16E-Instruct is documented with image input; GPT-4o 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-4o Mini?+
Neither has a larger sourced maximum output. Llama-4-Scout-17B-16E-Instruct is — and GPT-4o Mini is 16,384.
Do Llama-4-Scout-17B-16E-Instruct and GPT-4o Mini support reasoning and tool use?+
Llama-4-Scout-17B-16E-Instruct: tool calling and image input. GPT-4o 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-4o Mini?+
Llama-4-Scout-17B-16E-Instruct has 2 sourced provider routes; GPT-4o Mini has 2, a tie.
Which offers better value, Llama-4-Scout-17B-16E-Instruct or GPT-4o 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.