GPT-4o vs Mixtral 8x22B vs Nova Pro
Nova Pro comes out ahead, 48 to 43 and 33 on our weighted score, and it is the cheaper option too.
OpenAI
GPT-4o
43/100- ECI129.0
- Price$2.50 / $10.00
- Context128K
Mistral AI
Mixtral 8x22B
33/100- ECI122.0
- Price$2.00 / $6.00
- Context64K
- Our pick
Amazon
Nova Pro
48/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
Nova Pro is our pick
Nova Pro is the better all-round choice, scoring 48/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Nova Pro 123.8 · Mixtral 8x22B 122.0
- Lowest priceNova ProNova Pro $1.40 · Mixtral 8x22B $3.00 · GPT-4o $4.38 per 1M tokens (3:1 blend)
- Longest contextNova ProNova Pro 300,000 · GPT-4o 128,000 · Mixtral 8x22B 64,000 tokens
- Widest inputsNova ProGPT-4o: Text, Images, PDFs · Mixtral 8x22B: Text · Nova Pro: Text, Images, PDFs, Video
- Self-hostingMixtral 8x22BPublishes downloadable weights
| Measure | Weight | GPT-4o | Mixtral 8x22B | Nova Pro |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 52 | 43 | 45 |
| Price | 25% | 19 | 27 | 43 |
| Inputs & features | 15% | 70 | 25 | 70 |
| Context window | 10% | 24 | 12 | 39 |
| Overall | 100% | 43/100 | 33/100 | 48/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 129.0 (best) | 122.0 | 123.8 |
| ECI rank | #129 of 148 (best) | #139 of 148 | #137 of 148 |
| GPQA DiamondGraduate-level science questions | 48.9% (best) | 34.1% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 6.3% | — | — |
| Price per million tokens | |||
| Input | $2.50 | $2.00 | $0.80 (best) |
| Output | $10.00 | $6.00 | $3.20 (best) |
| Cached input | $1.25 | — | $0.20 (best) |
| Blended (3:1) | $4.38 | $3.00 | $1.40 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Mistral API | Official Amazon Bedrock API |
| Limits | |||
| Context window | 128,000 tokens | 64,000 tokens | 300,000 tokens (best) |
| Max output | 16,384 tokens | 64,000 tokens (best) | 10,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | gpt-4o | open-mixtral-8x22b | amazon.nova-pro-v1:0 |
| API providers | 19 (best) | 1 | 3 |
| Released | May 13, 2024 | Apr 17, 2024 | Dec 3, 2024 |
| Knowledge cutoff | Sep 2023 | Apr 2024 | Oct 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$45.00
Mixtral 8x22B$32.00
Nova Pro$14.40
Which should you choose?
Which is better: GPT-4o, Mixtral 8x22B or Nova Pro?
Nova Pro is the better all-round choice, scoring 48/100 against GPT-4o (43) and Mixtral 8x22B (33). It leads on price and context window. GPT-4o wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4o, Mixtral 8x22B or Nova Pro?
Nova Pro is cheaper at $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). Mixtral 8x22B costs $2.00 input / $6.00 output per million tokens (official Mistral API price); GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.40 per million tokens for Nova Pro versus $3.00 for Mixtral 8x22B (2.1× as much) and $4.38 for GPT-4o (3.1× as much).
Which scores higher on benchmarks?
GPT-4o scores higher on the Capabilities Index (ECI): GPT-4o 129.0 (#129 of 148), Nova Pro 123.8 (#137 of 148) and Mixtral 8x22B 122.0 (#139 of 148). The confidence ranges of the top two overlap (124.2–131.5 vs 108.8–126.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4o, Mixtral 8x22B and Nova Pro yet, so there is no like-for-like coding score. On overall capability, GPT-4o leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Nova Pro has the largest context window at 300,000 tokens, against 128,000 for GPT-4o and 64,000 for Mixtral 8x22B. Maximum output per response: GPT-4o up to 16,384, Mixtral 8x22B up to 64,000, Nova Pro up to 10,000 tokens.
Which can read images, PDFs, audio or video?
GPT-4o accepts text, images and PDFs; Mixtral 8x22B accepts text; Nova Pro accepts text, images, PDFs and video. Nova Pro handles the widest range of inputs.
Are any of these open source?
Mixtral 8x22B publishes its weights and can be self-hosted; GPT-4o and Nova Pro is proprietary.
Which is newer?
Nova Pro is the newest, released Dec 3, 2024. GPT-4o came out May 13, 2024; Mixtral 8x22B came out Apr 17, 2024. Knowledge cutoff: GPT-4o Sep 2023, Mixtral 8x22B Apr 2024, Nova Pro Oct 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.