Mixtral 8x22B vs GPT-4o mini
GPT-4o mini comes out ahead, 56 to 33 on our weighted score, and it is the cheaper option too.
Mistral AIMixtral 8x22B
33/100- ECI122.0
- Price$2.00 / $6.00
- Context64K
- Our pick
OpenAIGPT-4o mini
56/100- ECI126.6
- Price$0.15 / $0.60
- Context128K
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Make it a three-way comparison.
GPT-4o mini is our pick
GPT-4o mini is the better all-round choice, scoring 56/100 against Mixtral 8x22B (33). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-4o miniCapabilities Index (ECI): GPT-4o mini 126.6 · Mixtral 8x22B 122.0
- Lowest priceGPT-4o miniGPT-4o mini $0.263 · Mixtral 8x22B $3.00 per 1M tokens (3:1 blend)
- Longest contextGPT-4o miniGPT-4o mini 128,000 · Mixtral 8x22B 64,000 tokens
- Widest inputsGPT-4o miniMixtral 8x22B: Text · GPT-4o mini: Text, Images, PDFs
- Self-hostingMixtral 8x22BPublishes downloadable weights
| Measure | Weight | Mixtral 8x22B | GPT-4o mini |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 43 | 49 |
| Price | 25% | 27 | 77 |
| Inputs & features | 15% | 25 | 70 |
| Context window | 10% | 12 | 24 |
| Overall | 100% | 33/100 | 56/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mixtral 8x22BMistral AI | GPT-4o miniOpenAI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 122.0 | 126.6 (best) |
| ECI rank | #139 of 148 | #135 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 34.1% | 37.7% (best) |
| 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 | $2.00 | $0.15 (best) |
| Output | $6.00 | $0.60 (best) |
| Cached input | — | $0.075 |
| Blended (3:1) | $3.00 | $0.263 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official OpenAI API |
| Limits | ||
| Context window | 64,000 tokens | 128,000 tokens (best) |
| Max output | 64,000 tokens (best) | 16,384 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | open-mixtral-8x22b | gpt-4o-mini |
| API providers | 1 | 21 (best) |
| Released | Apr 17, 2024 | Jul 18, 2024 |
| Knowledge cutoff | Apr 2024 | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Mixtral 8x22B$32.00
- GPT-4o mini$2.70
Which should you choose?
Which is better: Mixtral 8x22B or GPT-4o mini?
GPT-4o mini is the better all-round choice, scoring 56/100 against Mixtral 8x22B (33). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x22B or GPT-4o mini?
GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Mixtral 8x22B costs $2.00 input / $6.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT-4o mini versus $3.00 for Mixtral 8x22B (11× 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 Mixtral 8x22B 122.0 (#139 of 148). The confidence ranges of the top two overlap (120.5–128.5 vs 115.1–124.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4o mini 37.7%, Mixtral 8x22B 34.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x22B and GPT-4o mini 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 has the largest context window at 128,000 tokens, against 64,000 for Mixtral 8x22B. Maximum output per response: Mixtral 8x22B up to 64,000, GPT-4o mini up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x22B accepts text; GPT-4o mini accepts text, images and PDFs. GPT-4o mini handles the widest range of inputs.
Are any of these open source?
Mixtral 8x22B 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. Mixtral 8x22B came out Apr 17, 2024. Knowledge cutoff: Mixtral 8x22B Apr 2024, GPT-4o mini Sep 2023.
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.
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