Mistral Nemo vs Sonar
Mistral Nemo costs 6.7x less per output token than Sonar ($0.15 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.00
Mistral Nemo or Sonar: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Nemo for output tokens 6.7x cheaper ($0.15 vs $1.00 per million) and a larger context window (131K against 127K tokens).
No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Sonar on LiveCodeBench (Artificial Analysis run), AA Intelligence Index and GPQA Diamond (Artificial Analysis run). 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 Sonar has a AA Intelligence Index result, 7.7.
Directional only
Long documents
Listed context window
Mistral Nemo
Mistral Nemo takes 131K tokens against 127K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Nemo
Mistral Nemo $0.0002, Sonar $0.0015 per turn.
List prices
At a glance
- Coding index
- Mistral Nemo not benchmarked, Sonar 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
- Mistral Nemo $0.15 against Sonar $1.00 per million output tokens, 6.7x apart.
- Context window
- Mistral Nemo takes 131K tokens, Sonar 127K.
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 Index1 board measured
| Benchmark | Mistral Nemo | Sonar | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | Not measured | 29.5% | Only Sonar measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Nemo | Sonar | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 7.7 | Only Sonar measured |
| Epoch Capabilities Index | 118.7 | Not measured | Only Mistral Nemo measured |
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Nemo | Sonar | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 47.1% | Only Sonar measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 4.9% | Only Sonar measured |
| Neither model has a result on the other 20 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Nemo | Sonar | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 68.9% | Only Sonar measured |
| MMLU | 65.3% | Not measured | Only Mistral Nemo measured |
| Neither model has a result on the other 16 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mistral Nemo | Sonar | Leader |
|---|---|---|---|
| DTBench | 48.6% | Not measured | Only Mistral Nemo 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
Mistral Nemo costs less
Repository review
50K input + 3K output tokens
Mistral Nemo costs less
Agent loop
200K input + 10K output tokens
Mistral Nemo 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 Nemo | Perplexity Sonar |
|---|---|---|
| Maker | Mistral AI | Perplexity |
| Weights | Open weights | No public weights listed |
| Released | July 19, 2024 | January 27, 2025 |
| Context window | 131K | 127K |
| Input $/Mtok | $0.15 | $1.00 |
| Output $/Mtok | $0.15 | $1.00 |
| 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 Mistral Nemo better than Sonar for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Nemo for output tokens 6.7x cheaper ($0.15 vs $1.00 per million) and a larger context window (131K against 127K tokens).
Which is cheaper, Mistral Nemo or Sonar?
Mistral Nemo costs $0.15 per million input tokens and $0.15 per million output tokens; Sonar costs $1.00 and $1.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Nemo or Sonar?
Mistral Nemo, with 131K tokens against 127K.
Has any benchmark tested both Mistral Nemo and Sonar?
No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Sonar on LiveCodeBench (Artificial Analysis run), AA Intelligence Index and GPQA Diamond (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.