FIBRE

Fixed Income Benchmark for Rigorous Evaluation

Models
14
Tasks
202
Rubric criteria
1,754
Updated
Oct 8, 2026

Graded on the reasoning, not only the final number.

152 tasks are answered from a written brief and 50 are researched live from filings. Each has its own rubric of specific claims, and a panel of three judge models from different labs checks every answer against it. Cost and latency are shown alongside the score.

Leaderboard

#
01
opus-5
Anthropic · high
Score
90.2
Question-answering
88.8
Agentic-research
94.3
Latency143s
Cost$1.14
02
kimi-k3
Moonshot
Score
90.1
Question-answering
89.9
Agentic-research
90.6
Latency400s
Cost$0.332
03
Score
88.9
Question-answering
87.9
Agentic-research
91.9
Latency198s
Cost$0.446
04
gpt-5.6-sol
OpenAI · high
Score
87.8
Question-answering
87.7
Agentic-research
88.2
Latency81.7s
Cost$0.664
05
glm-5.3
Zhipu
Score
87.8
Question-answering
86.7
Agentic-research
91.0
Latency364s
Cost$0.255
06
haiku-5.5-high
Anthropic · high
Score
87.0
Question-answering
86.3
Agentic-research
89.1
Latency74.7s
Cost$0.010
07
opus-4.6
Anthropic · high
Score
86.2
Question-answering
86.7
Agentic-research
84.9
Latency75.2s
Cost$0.360
08
Score
85.5
Question-answering
84.3
Agentic-research
89.3
Latency188s
Cost$0.024
09
sonnet-5
Anthropic · high
Score
85.2
Question-answering
84.8
Agentic-research
86.7
Latency86.1s
Cost$0.519
10
gpt-5.5
OpenAI · high
Score
84.3
Question-answering
83.6
Agentic-research
86.2
Latency87.2s
Cost$0.817
11
gpt-5.6-terra
OpenAI · high
Score
83.7
Question-answering
84.8
Agentic-research
80.1
Latency88.8s
Cost$0.244
12
minimax-m3
MiniMax
Score
82.3
Question-answering
82.1
Agentic-research
83.0
Latency55.9s
Cost$0.014
13
Score
78.1
Question-answering
79.3
Agentic-research
74.6
Latency24.5s
Cost$0.013
14
haiku-4.5
Anthropic
Score
65.0
Question-answering
68.1
Agentic-research
55.7
Latency41.8s
Cost$0.085

Score is the average across all tasks; the two track columns break it down. Latency is the median time per task, and cost is per task at list API prices. The Lab view shows each lab’s best model.

Trade-offs

No model here.Better on both axes at once.$0.01$0.02$0.05$0.1$0.2$0.5$1708090100Cost per task · better ←Score · better ↑Best-by-Taskhaiku-5.5-highglm-5.3kimi-k3opus-5
Best trade-off · no model beats these on bothBetter on both — no model here yetBeaten on both by a model on the lineBest-by-Task · hypothetical, not a model