SLM vs LLM on FinQA
Luna still leads at 83%, while MiMo-V2.6-Flash reaches 80%.
Accuracy by model size and cost
Accuracy vs. API cost per 100 questions. X-axis is logarithmic.
Colors use published total parameter counts: Large ≥100B, Medium 20–99B, Small <20B. Click a size to highlight that group; click it again to restore all points. Mixture-of-experts rows include active counts in the table. GPT-6 Luna has no published parameter count. GLM 5.3 Flash remains in the benchmark data but is omitted from this chart and the comparison tables because its endpoint required reasoning. Nemotron ran on OpenRouter's free NVIDIA endpoint; its chart cost is a paid-equivalent estimate.
0.37¢ / 100
0.35¢ / 100
0.21¢ / 100
Exact benchmark results
| frontier OpenAI · unknown | Undisclosed | 83% | 0.37¢ | 1.04s | 1.49s | 0.64 | 16 | off |
| frontier Xiaomi / MiMo · fp8 | 309B total (15B active) | 80% | 0.35¢ | 1.92s | 5.16s | 0.57 | 9 | off |
| frontier inclusionAI / Ling · fp4 | 124B total (5.1B active) | 77% | 0.21¢ | 0.81s | 1.26s | 0.57 | 23 | off |
Qwen · fp4 | 27B | 76% | 0.53¢ | 1.39s | 2.28s | 0.54 | 22 | off |
NVIDIA / Nemotron · unknown | 120B total (12B active) | 74% | 0.32¢* | 0.84s | 1.59s | 0.60 | 23 | off |
DeepSeek · fp8 | 552B total (8B input / 16B output active) | 72% | 0.38¢ | 1.26s | 2.52s | 0.70 | 17 | off |
Google Gemma · fp4 | 31B | 70% | 0.35¢ | 0.84s | 1.46s | 0.51 | 29 | off |
Mistral · unknown | 8B | 55% | 0.43¢ | 1.27s | 2.07s | 0.52 | 43 | off |
Qwen · fp4 | 9B | 41% | 0.33¢ | 1.19s | 1.64s | 0.53 | 58 | off |
IBM Granite · bf16 | 8B | 25% | 0.28¢ | 0.56s | 0.77s | 0.64 | 58 | off |
* Nemotron cost is a paid-equivalent estimate; measured benchmark spend on the free endpoint was 0.00¢. All displayed API costs are cents per 100 questions.
Confidence is still the weak link
At 50% local coverage, each model answers its 50 highest-confidence cases and sends the rest to Luna. This is descriptive on the same 100 questions, not a production threshold.
| Model | Local only | 50% confidence route | Oracle error route | Conf. AUROC | Observed cutoff |
|---|---|---|---|---|---|
| 80% | 82% | 88% | 0.57 | 95% | |
| 77% | 80% | 89% | 0.57 | 95% | |
| 76% | 77% | 90% | 0.54 | 95% | |
| 74% | 77% | 89% | 0.60 | 100% | |
| 72% | 81% | 89% | 0.70 | 95% | |
| 70% | 75% | 90% | 0.51 | 100% |
Where models differ
Each row is a model; columns compare accuracy on addition, subtraction, multiplication, and division. Cell colors use a red–yellow–green scale.
| Model | Add | Subtract | Multiply | Divide |
|---|---|---|---|---|
| 92% | 82% | 73% | 84% | |
| 92% | 71% | 55% | 81% | |
| 92% | 71% | 73% | 70% | |
| 85% | 76% | 64% | 70% | |
| 85% | 71% | 64% | 65% | |
| 77% | 65% | 55% | 70% | |
| 62% | 71% | 73% | 65% | |
| 69% | 65% | 55% | 32% | |
| 46% | 53% | 27% | 22% | |
| 38% | 29% | 0% | 14% |