Saba vs Mixtral 8x22B Instruct
Saba comes out ahead, 46 to 26 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AISaba
46/100- ECI—
- Price$0.20 / $0.60
- Context33K
- Mistral AI
Mixtral 8x22B Instruct
26/100- ECI122.0
- Price$2.00 / $6.00
- Context66K
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Make it a three-way comparison.
Saba is our pick
Saba is the better all-round choice, scoring 46/100 against Mixtral 8x22B Instruct (26). It leads on price. Mixtral 8x22B Instruct wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSabaSaba $0.30 · Mixtral 8x22B Instruct $3.00 per 1M tokens (3:1 blend)
- Longest contextMixtral 8x22B InstructMixtral 8x22B Instruct 65,536 · Saba 32,768 tokens
- Widest inputsSame inputsSaba: Text, PDFs · Mixtral 8x22B Instruct: Text, PDFs
- Self-hostingMixtral 8x22B InstructPublishes downloadable weights
| Measure | Weight | Saba | Mixtral 8x22B Instruct |
|---|---|---|---|
| Price | 50% | 72 | 26 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 0 | 12 |
| Overall | 100% | 46/100 | 26/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | SabaMistral AI | Mixtral 8x22B InstructMistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 122.0 |
| ECI rank | — | #155 of 165 |
| GPQA DiamondGraduate-level science questions | — | 34.1% |
| Price per million tokens | ||
| Input | $0.20 (best) | $2.00 |
| Output | $0.60 (best) | $6.00 |
| Cached input | — | — |
| Blended (3:1) | $0.30 (best) | $3.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Median of 5 providers |
| Limits | ||
| Context window | 32,768 tokens | 65,536 tokens (best) |
| Max output | 26,214 tokens | 52,428 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | Yes | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | — |
| API providers | 4 | 5 (best) |
| Released | Feb 17, 2025 | Apr 17, 2024 |
| Knowledge cutoff | Sep 30, 2024 | Jan 31, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Saba$3.20
- Mixtral 8x22B Instruct$32.00
Which should you choose?
Which is better: Saba or Mixtral 8x22B Instruct?
Saba is the better all-round choice, scoring 46/100 against Mixtral 8x22B Instruct (26). It leads on price. Mixtral 8x22B Instruct wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Saba or Mixtral 8x22B Instruct?
Saba is cheaper at $0.20 input / $0.60 output per million tokens (median across 4 API providers). Mixtral 8x22B Instruct costs $2.00 input / $6.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.30 per million tokens for Saba versus $3.00 for Mixtral 8x22B Instruct (10× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Saba has not been scored yet and Mixtral 8x22B Instruct has an ECI of 122.0.
Which is better for coding?
There are no published SWE-bench Verified results for Saba and Mixtral 8x22B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Mixtral 8x22B Instruct has the largest context window at 65,536 tokens, against 32,768 for Saba. Maximum output per response: Saba up to 26,214, Mixtral 8x22B Instruct up to 52,428 tokens.
Which can read images, PDFs, audio or video?
Saba accepts text and PDFs; Mixtral 8x22B Instruct accepts text and PDFs. They handle the same number of input types.
Are any of these open source?
Mixtral 8x22B Instruct publishes its weights and can be self-hosted; Saba is proprietary.
Which is newer?
Saba is the newest, released Feb 17, 2025. Mixtral 8x22B Instruct came out Apr 17, 2024. Knowledge cutoff: Saba Sep 30, 2024, Mixtral 8x22B Instruct Jan 31, 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 Nov 2, 2026.
