Mixtral 8x22B Instruct vs Laguna XS 2.1
Laguna XS 2.1 costs 50.0x less per output token than Mixtral 8x22B Instruct ($0.12 vs $6.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $6.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.12
Mixtral 8x22B Instruct or Laguna XS 2.1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Mixtral 8x22B Instruct has results on LiveCodeBench (Artificial Analysis run), SciCode and AA Intelligence Index; Laguna XS 2.1 has none yet. Compare them on price and context instead.
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
No call
Only Mixtral 8x22B Instruct has a AA Intelligence Index result, 5.7.
Directional only
Long documents
Listed context window
Laguna XS 2.1
Laguna XS 2.1 takes 262K tokens against 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Laguna XS 2.1
Mixtral 8x22B Instruct $0.0050, Laguna XS 2.1 $0.0001 per turn.
List prices
At a glance
- Coding index
- Mixtral 8x22B Instruct not benchmarked, Laguna XS 2.1 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Mixtral 8x22B Instruct $6.00 against Laguna XS 2.1 $0.12 per million output tokens, 50.0x apart.
- Context window
- Mixtral 8x22B Instruct takes 66K tokens, Laguna XS 2.1 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured
| Benchmark | Mixtral 8x22B Instruct | Laguna XS 2.1 | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 14.8% | Not measured | Only Mixtral 8x22B Instruct measured |
| SciCode | 0.0% | Not measured | Only Mixtral 8x22B Instruct measured |
| Neither model has a result on the other 37 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mixtral 8x22B Instruct | Laguna XS 2.1 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.7 | Not measured | Only Mixtral 8x22B Instruct measured |
| Epoch Capabilities Index | 122.0 | Not measured | Only Mixtral 8x22B Instruct measured |
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mixtral 8x22B Instruct | Laguna XS 2.1 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 33.2% | Not measured | Only Mixtral 8x22B Instruct measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.0% | Not measured | Only Mixtral 8x22B Instruct measured |
| Neither model has a result on the other 20 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mixtral 8x22B Instruct | Laguna XS 2.1 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.7% | Not measured | Only Mixtral 8x22B Instruct measured |
| Neither model has a result on the other 17 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mixtral 8x22B Instruct | Laguna XS 2.1 | Leader |
|---|---|---|---|
| DTBench | 55.1% | Not measured | Only Mixtral 8x22B Instruct measured |
| Neither model has a result on the other 45 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
Laguna XS 2.1 costs less
Repository review
50K input + 3K output tokens
Laguna XS 2.1 costs less
Agent loop
200K input + 10K output tokens
Laguna XS 2.1 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 | Poolside Laguna XS 2.1 |
|---|---|---|
| Maker | Mistral AI | Poolside |
| Weights | Open weights | Open weights |
| Released | April 17, 2024 | July 2, 2026 |
| Context window | 66K | 262K |
| Input $/Mtok | $2.00 | $0.06 |
| Output $/Mtok | $6.00 | $0.12 |
| 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 Laguna XS 2.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Mixtral 8x22B Instruct or Laguna XS 2.1?
Mixtral 8x22B Instruct costs $2.00 per million input tokens and $6.00 per million output tokens; Laguna XS 2.1 costs $0.06 and $0.12. Cost per solved task is known for neither of them.
Which has the bigger context window, Mixtral 8x22B Instruct or Laguna XS 2.1?
Laguna XS 2.1, with 262K tokens against 66K.
Has any benchmark tested both Mixtral 8x22B Instruct and Laguna XS 2.1?
No benchmark has tested both yet. Mixtral 8x22B Instruct has results on LiveCodeBench (Artificial Analysis run), SciCode and AA Intelligence Index; Laguna XS 2.1 has none yet. Compare them on price and context instead. Data as of October 21, 2026.