Comparator
Model Selector for Finance
Model selector finance: pick the right LLM for extract, summarize, forecast, compare, rank, synthesize — cost, latency, context, quality axes.
- Inputs
- Scenario form
- Runtime
- Instant
- Privacy
- Client-side · no upload
- API key
- Not required
- Methodology
- Open →
1 · Configure your task profile
Reference workload for cost fit: 6,000 in / 1,200 out × 3,000 calls/mo. See methodology.
2 · Top 3 recommendations
Gemini 2.5 Flash
haiku tier · 1M ctx
Cheapest frontier model in this table, with 1M context. Positioned for high-throughput pipelines. Reference monthly spend at this tool's default workload is ~$14, within the $50/mo budget. Published context window 1M covers the 32K–200K requirement. Vendor positions the Haiku tier for summarize workloads.
Vendor pricing →Claude Haiku 4.5
haiku tier · 200K ctx
Haiku-tier. Cheapest Anthropic rate, positioned for latency-sensitive filtering and extraction. Reference monthly spend at this tool's default workload is ~$36, within the $50/mo budget. Published context window 200K covers the 32K–200K requirement. Vendor positions the Haiku tier for summarize workloads.
Vendor pricing →Claude Sonnet 4.6
sonnet tier · 500K ctx · thinking
gate failed — see why-not
Sonnet-tier workhorse. 500K context and thinking-tokens at 1/5 of opus input rate. Reference monthly spend (~$108) exceeds the $50/mo budget at default workload. Published context window 500K covers the 32K–200K requirement. Vendor positions the Sonnet tier for summarize workloads.
Vendor pricing →Published-rate-based; verify with your own eval harness (see D1 — Eval harness for finance LLMs).
3 · Full ranked list with why-not notes
Passes all gates; simply outranked by a model with better combined fit.
Passes all gates; simply outranked by a model with better combined fit.
Over the chosen cost budget at default workload.
Over the chosen cost budget at default workload.
Over the chosen cost budget at default workload.
Over the chosen cost budget at default workload.
Over the chosen cost budget at default workload.
Over the chosen cost budget at default workload.
4 · Per-axis comparison (all models)
| Model | Input $/1M | Output $/1M | Context | Thinking | Ref $/mo | Cost | Latency | Ctx | Capability |
|---|---|---|---|---|---|---|---|---|---|
| Gemini 2.5 Flash | $0.30 | $2.50 | 1M | — | $14 | pass | pass | pass | pass |
| Claude Haiku 4.5 | $1.00 | $5.00 | 200K | — | $36 | pass | pass | pass | pass |
| Claude Sonnet 4.6 | $3.00 | $15.00 | 500K | yes | $108 | fail | pass | pass | pass |
| GPT-5 mini | $2.00 | $8.00 | 256K | — | $65 | fail | pass | pass | pass |
| o4-mini (reasoning) | $3.00 | $12.00 | 200K | yes | $97 | fail | pass | pass | fail |
| Claude Opus 4.7 | $15.00 | $75.00 | 1M | yes | $540 | fail | fail | pass | fail |
| GPT-5 | $10.00 | $40.00 | 400K | yes | $324 | fail | fail | pass | fail |
| Gemini 2.5 Pro | $1.25 | $10.00 | 2M | yes | $58 | fail | fail | pass | pass |
Hover cells for the axis note. Rates and context windows sourced from vendor pricing pages, as-of 2026-04-23.
Scoring framework
score = cost_match + latency_match + context_match
+ capability_bonus + quality_boost
cost_match : 0 if monthly estimate > budget ceiling
latency_match : 0 if tier slower than latency budget
context_match : 0 if context window < required
capability : bonus if task ∈ model.best_for
quality : boost flagship tiers when quality = highDeliberately no accuracy numbers. See methodology for why, and the framework article for deeper rationale.
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