Pick the LLM that answers questions from memory, planning its own searches and deciding when it has enough.
- Embeddings: bge-small-en-v1.5
- Reranker: ms-marco-MiniLM-L-6-v2
- Hindsight: 1.2.0
- Judge: gemini-3.1-flash-lite
Results
17 cases in 7 categoriesThe LLM plans its own searches and decides when it has enough. Rows with + decision model also run one; open one to see what each model did and cost.
| # | Model | Cases | LLM calls | Decision calls | Tokens in / out | |||
|---|---|---|---|---|---|---|---|---|
| 1 | ![]() glm-5.3-flash Z.ai · open weights | 93.8 | 91.2 | $0.69 | 15/17 | 4.5 | — | 44k / 652 |
| 2 | ![]() glm-5.3-flash + hs-decide-1-flash Z.ai · open weights | 92.6 | 94.1 | $1.48 | 16/17 | 2.6 | 15.8 | 8.8k / 494 |
| 3 | ![]() gpt-6-luna + hs-decide-1-flash OpenAI | 91.4 | 94.1 | $1.94 | 16/17 | 2.6 | 15.6 | 8.8k / 129 |
| 4 | ![]() gpt-6-luna OpenAI | 88.3 | 94.1 | $3.98 | 16/17 | 4.4 | — | 40k / 235 |
| 5 | ![]() claude-haiku-5.5 + hs-decide-1-flash Anthropic | 87.9 | 91.2 | $2.69 | 15/17 | 2.5 | 15.5 | 13k / 489 |
| 6 | ![]() deepseek-v4.1-flash DeepSeek · open weights | 87.5 | 88.2 | $1.82 | 15/17 | 4.4 | — | 43k / 1.1k |
| 7 | ![]() claude-haiku-5.5 Anthropic | 86.5 | 94.1 | $5.98 | 16/17 | 4.3 | — | 56k / 663 |
| 8 | ![]() gpt-5.6-luna OpenAI | 85.7 | 94.1 | $7.23 | 16/17 | 4.3 | — | 37k / 268 |
| 9 | ![]() gemma-4-26b-a4b + hs-decide-1-flash Google · open weights | 85.5 | 85.3 | $1.84 | 16/17 | 2.6 | 15.5 | 9.0k / 217 |
| 10 | ![]() minimax-m3.1-flash MiniMax · open weights | 85.4 | 91.2 | $4.87 | 16/17 | 5.0 | — | 64k / 1.3k |
| 11 | ![]() deepseek-v4.1-flash + hs-decide-1-flash DeepSeek · open weights | 85.3 | 85.3 | $1.91 | 14/17 | 2.6 | 15.9 | 9.5k / 772 |
| 12 | ![]() gemma-4-26b-a4b Google · open weights | 85.0 | 88.2 | $3.25 | 15/17 | 4.2 | — | 41k / 323 |
| 13 | ![]() gemini-3.1-flash-lite Google | 84.7 | 94.1 | $9.01 | 16/17 | 4.2 | — | 41k / 348 |
| 14 | ![]() gemini-3.8-flash + hs-decide-1-flash Google | 83.2 | 91.2 | $7.91 | 16/17 | 2.4 | 14.8 | 7.5k / 176 |
| 15 | ![]() gemini-3.1-flash-lite + hs-decide-1-flash Google | 83.1 | 85.3 | $3.15 | 14/17 | 2.4 | 15 | 7.7k / 188 |
| 16 | ![]() gemini-3.8-flash Google | 78.7 | 94.1 | $36 | 16/17 | 4.4 | — | 45k / 438 |
| 17 | ![]() qwen3.8-flash Qwen · open weights | 77.6 | 79.4 | $4.31 | 15/17 | 4.9 | — | 64k / 797 |
| 18 | ![]() gpt-6.1-terra OpenAI | 77.5 | 94.1 | $47 | 16/17 | 4.3 | — | 46k / 230 |
| 19 | ![]() gpt-5.6-terra OpenAI | 75.5 | 94.1 | $76 | 16/17 | 4.4 | — | 39k / 273 |
Click a row for its categories and failed cases. Hover for how a column is computed.
Quality vs. cost across 12 models on Reflect
Top left is best value. Hover a point for details.
Cost per 1k cases includes the hs-decide-1-flash calls for the runs that use it.
Cases passed by category
Where each model wins and loses. The best in each category is outlined.
| Model | Precision | Update | Aggregation | No overreach | Source authority | Pages | Orchestration |
|---|---|---|---|---|---|---|---|
glm-5.3-flash | 3/3 | 2/2 | 1/2 | 2/2 | 3/4 | 2/2 | 2/2 |
glm-5.3-flash+ | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gpt-6-luna+ | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gpt-6-luna | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
claude-haiku-5.5+ | 3/3 | 2/2 | 2/2 | 2/2 | 2/4 | 2/2 | 2/2 |
deepseek-v4.1-flash | 3/3 | 2/2 | 2/2 | 2/2 | 2/4 | 2/2 | 2/2 |
claude-haiku-5.5 | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gpt-5.6-luna | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gemma-4-26b-a4b+ | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
minimax-m3.1-flash | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
deepseek-v4.1-flash+ | 3/3 | 2/2 | 1/2 | 2/2 | 3/4 | 1/2 | 2/2 |
gemma-4-26b-a4b | 3/3 | 2/2 | 1/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gemini-3.1-flash-lite | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gemini-3.8-flash+ | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gemini-3.1-flash-lite+ | 3/3 | 2/2 | 1/2 | 2/2 | 3/4 | 1/2 | 2/2 |
gemini-3.8-flash | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
qwen3.8-flash | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 1/2 | 2/2 |
gpt-6.1-terra | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
gpt-5.6-terra | 3/3 | 2/2 | 2/2 | 2/2 | 3/4 | 2/2 | 2/2 |
Categories
From the evals in this version. Click one for its cases.
Precisionthe answer differs from its near-misses by one attribute: a version, a service name, a number (3)
hq-release-prodhq-entity-porthq-numeric-outageUpdatewhat is true now, when the bank also holds what was true before (2)
hq-owner-latestsp-rotationAggregationa count across many facts; a rule together with its approved exception (2)
hq-count-billingsp-friday-deployNo overreacha year the bank does not cover; a rule true in one region only (2)
hq-scoped-2fahq-absent-2024Source authoritythe handbook against confident chatter; questions only one source answers (4)
sp-datastoresp-approvalssp-postmortemsp-upgrade-ownerPagesthe bank holds a page about the question, and the answer comes from it (2)
hq-release-prodhq-count-billingOrchestration (2)
fu-escalationfu-release
Also in this version, measured but not graded as cases: test_reflect_benchmark_coding_agent_decision_model






