Mistral Large 3 vs GPT-5 Nano
Benchmark Performance
Available Benchmarks
| Benchmark | Mistral Large 3 | GPT-5 Nano |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,427.62100% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85 | 1,319.8492% of row best · rating · gpt-5-nano-high; 95% CI [1312.99438214, 1326.68844296]; votes 8128; rank 214 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,226.84100% of row best · rating · mistral-large-3; 95% CI [1216.90651393, 1236.78308197]; votes 4751; rank 66 | 1,159.2494% of row best · rating · gpt-5-nano-high; 95% CI [1148.19623356, 1170.28699037]; votes 3950; rank 96 |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 70.39100% of row best · points · Mistral Large 3 · 2,056 output tokens / case | 61.6288% of row best · points · GPT-5 nano · 7,465 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall 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 | Mistral Large 3 | GPT-5 Nano |
|---|---|---|
| Developer | Mistral AI | OpenAI |
| Family | Mistral Large 3 | Gpt 5 |
| Model | Mistral Large 3 | GPT-5 Nano |
| Version | Mistral Large 3 | GPT-5 Nano |
| Lifecycle | active | active |
| Released | 2025-12-02 | 2025-08-07 |
| Knowledge cutoff | Unknown | 2024-05-31 |
| Input modalities | Text, Image, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 400K |
| Total parameters | 675B | Unknown |
| Active parameters | 41B | Unknown |
| License | Apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | chat, generation, reasoning, structured_outputs, tools |
14 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Mistral Large 3 Capabilities
GPT-5 Nano Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs GPT-5 Nano FAQs
Is Mistral Large 3 or GPT-5 Nano better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and GPT-5 Nano, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or GPT-5 Nano?+
Mistral Large 3 is $0.50 and GPT-5 Nano is $0.025 per million tokens, so GPT-5 Nano is cheaper on this metric. Mistral Large 3 is $1.50 and GPT-5 Nano is $0.20 per million tokens, so GPT-5 Nano is cheaper on this metric.
Which has a larger context window, Mistral Large 3 or GPT-5 Nano?+
GPT-5 Nano has the larger sourced context window. Mistral Large 3 supports 262K and GPT-5 Nano supports 400K.
Which performs better in benchmarks, Mistral Large 3 or GPT-5 Nano?+
Mistral Large 3 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Mistral Large 3 or GPT-5 Nano be self-hosted?+
Mistral Large 3 is the only model in this pair currently marked as self-hostable. Mistral Large 3 is open weight; GPT-5 Nano is not marked open weight.
Can Mistral Large 3 and GPT-5 Nano understand images?+
Mistral Large 3 is documented with image input; GPT-5 Nano is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Large 3 or GPT-5 Nano?+
Neither has a larger sourced maximum output. Mistral Large 3 is — and GPT-5 Nano is 128K.
Do Mistral Large 3 and GPT-5 Nano support reasoning and tool use?+
Mistral Large 3: tool calling and image input. GPT-5 Nano: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Large 3 or GPT-5 Nano?+
Mistral Large 3 has 2 sourced provider routes; GPT-5 Nano has 2, a tie.
Which offers better value, Mistral Large 3 or GPT-5 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.