GPT-4o mini vs Mistral Nemo
GPT-4o mini comes out ahead, 56 to 48 on our weighted score, though Mistral Nemo is 43% cheaper per token.
- Our pick
OpenAI
GPT-4o mini
56/100- ECI126.6
- Price$0.15 / $0.60
- Context128K
Mistral AI
Mistral Nemo
48/100- ECI118.7
- Price$0.15 / $0.15
- Context128K
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GPT-4o mini is our pick
GPT-4o mini is the better all-round choice, scoring 56/100 against Mistral Nemo (48). It leads on capability and inputs & features. Mistral Nemo wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-4o miniCapabilities Index (ECI): GPT-4o mini 126.6 · Mistral Nemo 118.7
- Lowest priceMistral NemoMistral Nemo $0.15 · GPT-4o mini $0.263 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT-4o mini 128,000 · Mistral Nemo 128,000 tokens
- Widest inputsGPT-4o miniGPT-4o mini: Text, Images, PDFs · Mistral Nemo: Text
- Self-hostingMistral NemoPublishes downloadable weights
| Measure | Weight | GPT-4o mini | Mistral Nemo |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 49 | 39 |
| Price | 25% | 77 | 89 |
| Inputs & features | 15% | 70 | 25 |
| Context window | 10% | 24 | 24 |
| Overall | 100% | 56/100 | 48/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 126.6 (best) | 118.7 |
| ECI rank | #135 of 148 (best) | #140 of 148 |
| GPQA DiamondGraduate-level science questions | 37.7% (best) | 29.9% |
| FrontierMath Tiers 1–3Research-level mathematics | 0.7% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 6.9% | — |
| SimpleQA VerifiedShort factual questions | 8.3% | — |
| Price per million tokens | ||
| Input | $0.15 | $0.15 |
| Output | $0.60 | $0.15 (best) |
| Cached input | $0.075 | — |
| Blended (3:1) | $0.263 | $0.15 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Mistral API |
| Limits | ||
| Context window | 128,000 tokens | 128,000 tokens |
| Max output | 16,384 tokens | 128,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gpt-4o-mini | mistral-nemo |
| API providers | 21 (best) | 5 |
| Released | Jul 18, 2024 | Jul 1, 2024 |
| Knowledge cutoff | Sep 2023 | Jul 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-4o mini$2.70
Mistral Nemo$1.80
Which should you choose?
Which is better: GPT-4o mini or Mistral Nemo?
GPT-4o mini is the better all-round choice, scoring 56/100 against Mistral Nemo (48). It leads on capability and inputs & features. Mistral Nemo wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4o mini or Mistral Nemo?
Mistral Nemo is cheaper at $0.15 input / $0.15 output per million tokens (official Mistral API price). GPT-4o mini costs $0.15 input / $0.60 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for Mistral Nemo versus $0.263 for GPT-4o mini (1.8× as much).
Which scores higher on benchmarks?
GPT-4o mini scores higher on the Capabilities Index (ECI): GPT-4o mini 126.6 (#135 of 148) and Mistral Nemo 118.7 (#140 of 148). The confidence ranges of the top two overlap (120.5–128.5 vs 111.3–121.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4o mini 37.7%, Mistral Nemo 29.9%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4o mini and Mistral Nemo yet, so there is no like-for-like coding score. On overall capability, GPT-4o mini leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-4o mini and Mistral Nemo share the same 128,000-token context window. Maximum output per response: GPT-4o mini up to 16,384, Mistral Nemo up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GPT-4o mini accepts text, images and PDFs; Mistral Nemo accepts text. GPT-4o mini handles the widest range of inputs.
Are any of these open source?
Mistral Nemo publishes its weights and can be self-hosted; GPT-4o mini is proprietary.
Which is newer?
GPT-4o mini is the newest, released Jul 18, 2024. Mistral Nemo came out Jul 1, 2024. Knowledge cutoff: GPT-4o mini Sep 2023, Mistral Nemo Jul 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.