Mixtral 8x22B Instruct vs Sonar Pro
Updated October 21, 2026. 5 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Mixtral 8x22B Instruct has the edge where output tokens cost 2.5x less, and where what matters is LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.
- Shared results
- 5
- Mixtral 8x22B Instruct only
- 2
- Sonar Pro only
- 0
- Like-for-like categories
- 4 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Sonar Pro
Sonar Pro leads, 7.6 against 5.7.
Same board, both measured
Long documents
Listed context window
Sonar Pro
Sonar Pro takes 200K tokens against 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mixtral 8x22B Instruct
Mixtral 8x22B Instruct $0.0050, Sonar Pro $0.011 per turn.
List prices
At a glance
- Coding index
- Mixtral 8x22B Instruct not benchmarked, Sonar Pro not benchmarked.
- Widest category
- Knowledge, 21.8 points apart on average over 1 shared benchmark.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): Mixtral 8x22B Instruct 33.2% against Sonar Pro 57.8%, 24.6 points apart on a 0 to 100 scale.
- Output price
- Mixtral 8x22B Instruct $6.00 against Sonar Pro $15.00 per million output tokens, 2.5x apart.
- Context window
- Mixtral 8x22B Instruct takes 66K tokens, Sonar Pro 200K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Mixtral 8x22B Instruct | Bars | Sonar Pro | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| All shared boards | 0 | 5 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 14.8% | 27.5% | Sonar Pro |
| Neither model has a result on the other 37 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.7 | 7.6 | Sonar Pro |
| Epoch Capabilities Index | 122.0 | Not measured | Only Mixtral 8x22B Instruct measured |
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| Neither model has a result on 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 33.2% | 57.8% | Sonar Pro |
| Humanity's Last Exam (Artificial Analysis run) | 4.0% | 6.6% | Sonar Pro |
| Neither model has a result on the other 19 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.7% | 75.5% | Sonar Pro |
| Neither model has a result on the other 16 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| DTBench | 55.1% | Not measured | Only Mixtral 8x22B Instruct measured |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mixtral 8x22B Instruct | Sonar Pro | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Mixtral 8x22B Instruct costs less
Repository review
50K input + 3K output tokens
Mixtral 8x22B Instruct costs less
Agent loop
200K input + 10K output tokens
Mixtral 8x22B Instruct costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Mistral Mixtral 8x22B Instruct | Perplexity Sonar Pro |
|---|---|---|
| Maker | Mistral AI | Perplexity |
| Weights | Open weights | No public weights listed |
| Released | April 17, 2024 | March 7, 2025 |
| Context window | 66K | 200K |
| Input $/Mtok | $2.00 | $3.00 |
| Output $/Mtok | $6.00 | $15.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mixtral 8x22B Instruct better than Sonar Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Mixtral 8x22B Instruct has the edge where output tokens cost 2.5x less, and where what matters is LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.
Which is cheaper, Mixtral 8x22B Instruct or Sonar Pro?
Mixtral 8x22B Instruct costs $2.00 per million input tokens and $6.00 per million output tokens; Sonar Pro costs $3.00 and $15.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Mixtral 8x22B Instruct or Sonar Pro?
Sonar Pro, with 200K tokens against 66K.
How many benchmarks is the Mixtral 8x22B Instruct vs Sonar Pro comparison based on?
5 benchmarks have a result for both models as of October 21, 2026. Mixtral 8x22B Instruct's coding index rests on 0 independent benchmarks and Sonar Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.