Mistral Nemo vs Sonar Pro
Mistral Nemo costs 100.0x less per output token than Sonar Pro ($0.15 vs $15.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
- Coding
- No data
- Overall
- 7.6
- Output $/M
- $15.00
Mistral Nemo or Sonar Pro: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Nemo for output tokens 100.0x cheaper ($0.15 vs $15.00 per million).
No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Sonar Pro 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 Pro has a AA Intelligence Index result, 7.6.
Directional only
Long documents
Listed context window
Sonar Pro
Sonar Pro takes 200K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Nemo
Mistral Nemo $0.0002, Sonar Pro $0.011 per turn.
List prices
At a glance
- Coding index
- Mistral Nemo not benchmarked, Sonar Pro 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 Pro $15.00 per million output tokens, 100.0x apart.
- Context window
- Mistral Nemo takes 131K tokens, Sonar Pro 200K.
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 Pro | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | Not measured | 27.5% | Only Sonar Pro 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 | Mistral Nemo | Sonar Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 7.6 | Only Sonar Pro 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 Pro | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 57.8% | Only Sonar Pro measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 6.6% | Only Sonar Pro measured |
| Neither model has a result on the other 19 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Mistral Nemo | Sonar Pro | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | Not measured | 75.5% | Only Sonar Pro measured |
| MMLU | 65.3% | Not measured | Only Mistral Nemo measured |
| Neither model has a result on the other 15 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mistral Nemo | Sonar Pro | 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 Pro |
|---|---|---|
| Maker | Mistral AI | Perplexity |
| Weights | Open weights | No public weights listed |
| Released | July 19, 2024 | March 7, 2025 |
| Context window | 131K | 200K |
| Input $/Mtok | $0.15 | $3.00 |
| Output $/Mtok | $0.15 | $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 Mistral Nemo better than Sonar Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Nemo for output tokens 100.0x cheaper ($0.15 vs $15.00 per million).
Which is cheaper, Mistral Nemo or Sonar Pro?
Mistral Nemo costs $0.15 per million input tokens and $0.15 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, Mistral Nemo or Sonar Pro?
Sonar Pro, with 200K tokens against 131K.
Has any benchmark tested both Mistral Nemo and Sonar Pro?
No benchmark has tested both yet. Mistral Nemo has results on Epoch Capabilities Index, MMLU and DTBench; Sonar Pro 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 21, 2026.