Ministral 8B Instruct 2410 vs GPT-4.1 Nano
At a Glance
| Compare |  Ministral 8B Instruct 2410Mistral AI |  GPT-4.1 NanoOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.050Openrouter ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.20Openrouter ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 33K | 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 | Ministral-8B-Instruct-2410 | GPT-4.1 Nano |
|---|---|---|
| Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader | 11.1045% of row best · percent · Ministral-8B-Instruct-2410 (FC) | 24.88100% of row best · percent · GPT-4.1-nano-2025-04-14 (Prompt) |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo 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 | Ministral-8B-Instruct-2410 | GPT-4.1 Nano |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Ministral 8b Instruct 2410 | Gpt 4 1 |
| Model | Ministral-8B-Instruct-2410 | GPT-4.1 Nano |
| Version | Ministral-8B-Instruct-2410 | GPT-4.1 Nano |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | 2024-06-01 |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 33K | 1,048K |
| Total parameters | 8B | Unknown |
| Active parameters | Unknown | Unknown |
| License | other | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, tools | chat, generation, tools |
Ministral 8B Instruct 2410 Capabilities
GPT-4.1 Nano Capabilities
Related Comparisons
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Primary Evidence
Sources and Freshness
Questions
Ministral 8B Instruct 2410 vs GPT-4.1 Nano FAQs
Is Ministral 8B Instruct 2410 or GPT-4.1 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Ministral 8B Instruct 2410 and GPT-4.1 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Ministral 8B Instruct 2410 or GPT-4.1 Nano?+
Only GPT-4.1 Nano has a directly sourced input price: $0.050 per million tokens. Only GPT-4.1 Nano has a directly sourced output price: $0.20 per million tokens.
Which has a larger context window, Ministral 8B Instruct 2410 or GPT-4.1 Nano?+
GPT-4.1 Nano has the larger sourced context window. Ministral 8B Instruct 2410 supports 33K and GPT-4.1 Nano supports 1,048K.
Which performs better in benchmarks, Ministral 8B Instruct 2410 or GPT-4.1 Nano?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Ministral 8B Instruct 2410 or GPT-4.1 Nano be self-hosted?+
Ministral 8B Instruct 2410 is the only model in this pair currently marked as self-hostable. Ministral 8B Instruct 2410 is open weight; GPT-4.1 Nano is not marked open weight.
Can Ministral 8B Instruct 2410 and GPT-4.1 Nano understand images?+
Ministral 8B Instruct 2410 is not documented with image input; GPT-4.1 Nano is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Ministral 8B Instruct 2410 or GPT-4.1 Nano?+
Neither has a larger sourced maximum output. Ministral 8B Instruct 2410 is — and GPT-4.1 Nano is 33K.
Do Ministral 8B Instruct 2410 and GPT-4.1 Nano support reasoning and tool use?+
Ministral 8B Instruct 2410: tool calling. GPT-4.1 Nano: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Ministral 8B Instruct 2410 or GPT-4.1 Nano?+
Ministral 8B Instruct 2410 has 0 sourced provider routes; GPT-4.1 Nano has 2, so GPT-4.1 Nano has broader tracked availability.
Which offers better value, Ministral 8B Instruct 2410 or GPT-4.1 Nano?+
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.