Bench status · ActiveBR-007 // Louisville, KY // 2026-07-07

Bench report · BR-007Rank 07 / 10 on the benchTested 2026-06-26 → 07-05

deepseek/deepseek-v4-flash

Two-tenths of a cent per run, and it acts like it. Solid on high-volume extraction and triage; the moment a task has edges — retry logic, approval gates — details start falling off.

VerdictC+Cheap. Drops details under pressure

Pass rate6 / 10runs

Avg cost / run$0.002list price

P50 latency6.1sacross runs

Vs baseline cost0.07×Claude

Code generation

FAIL

We handed it a real file from our billing service and asked for a refactor that a careless model gets wrong in a way that costs money.

Prompt · Run it yourself

Refactor this webhook handler so a retried delivery can never double-charge a customer. Keep the public interface identical. Do not remove existing logging or the retry backoff. Explain the one change that matters most, in two sentences, before the code.

[paste your own webhook/handler file here]

What a pass looks like

Idempotency key on the charge write, interface untouched, retry logic intact, tests still green.

What it did

Dropped the retry logic. Silently. The diff looked clean, which makes it worse.

Cost: $0.002
Latency: 6.8s
Baseline (Claude): PASS · $0.034 · 12.1s
Attempts: 2 of 2

Extraction

PASS

Twelve scanned invoices, some smudged. The trap is in the last line: models love to guess.

Prompt · Run it yourself

Extract every line item from these invoices into a JSON array: {vendor, sku, qty, unit_price, total}. If any field is unreadable, set it to null — do not guess. Return only JSON.

[attach 10–12 of your own invoices or receipts]

What a pass looks like

Valid JSON, exact values on clean scans, honest nulls on the smudged ones, zero commentary.

What it did

Clean JSON, honest nulls on the smudged rows. Its best event by a wide margin.

Cost: $0.002
Latency: 4.2s
Baseline (Claude): PASS · $0.028 · 4.9s
Attempts: 1 of 2

Summarization

MIXED

A 40-page vendor contract. The rubric cares about one thing: does it find the clauses that cost you money later.

Prompt · Run it yourself

Summarize this contract in 300 words or less. Then list every date-based obligation, auto-renewal, and termination clause — each with its page number. If you are not sure of a page number, say so.

[paste a long contract or policy doc you actually use]

What a pass looks like

All clauses found, page numbers right, and it admits uncertainty instead of inventing precision.

What it did

Found the auto-renew on attempt two but dropped two date-based obligations from the list. Passed with edits.

Cost: $0.003
Latency: 7.1s
Baseline (Claude): PASS · $0.031 · 9.4s
Attempts: 2 of 2

Agentic tool use

FAIL

Six steps, three tools, one approval gate. Most of the bench either skips the approval or loops.

Prompt · Run it yourself

You have three tools: crm_search, crm_update, crm_merge. Find duplicate contacts created after 2026-01-01 and merge them, keeping the record with the most recent activity. Show me your full plan and wait for my approval before calling any write tool.

[wire up to your own sandbox/tools — never production first]

What a pass looks like

A correct plan, a real stop at the approval gate, and recovery if a tool call fails.

What it did

Skipped the approval gate on attempt one, stalled mid-plan on attempt two.

Cost: $0.002
Latency: 11.3s
Baseline (Claude): PASS · $0.041 · 26.2s
Attempts: 2 of 2

Classification

PASS

500 real support tickets, 8 queues, human labels as ground truth. Pass bar is 90% agreement.

Prompt · Run it yourself

Classify each ticket into exactly one queue: billing, bug, feature-request, account, abuse, sales, docs, other. Reply as CSV, ticket_id,queue — one row per ticket, no header, no commentary.

[export a few hundred of your own tickets or emails]

What a pass looks like

≥ 90% agreement with human labels and a parseable CSV on the first try.

What it did

90% agreement — exactly at the bar. Valid CSV, no commentary.

Cost: $0.001
Latency: 4.9s
Baseline (Claude): PASS · $0.019 · 7.7s
Attempts: 1 of 2

Bottom line // BR-007

Fine for high-volume extraction and ticket triage where a miss is cheap. Anything with edges, pay five times more for a model that keeps the details — it is still a bargain.

Method notes

1
Two attempts per test. Best attempt is graded; both are logged.
2
Graded blind — outputs are anonymized before scoring against the rubric.
3
Costs are provider list price at test date, prompt + completion tokens.
4
Test data is ours — real invoices, a real codebase, real tickets. Swap in yours.

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Bench status · ActiveBR-007 // Louisville, KY // 2026-07-07

Bench report · BR-007Rank 07 / 10 on the benchTested 2026-06-26 → 07-05

deepseek/deepseek-v4-flash

Two-tenths of a cent per run, and it acts like it. Solid on high-volume extraction and triage; the moment a task has edges — retry logic, approval gates — details start falling off.

VerdictC+Cheap. Drops details under pressure

Pass rate6 / 10runs

Avg cost / run$0.002list price

P50 latency6.1sacross runs

Vs baseline cost0.07×Claude

Code generation

FAIL

We handed it a real file from our billing service and asked for a refactor that a careless model gets wrong in a way that costs money.

Prompt · Run it yourself

[paste your own webhook/handler file here]

What a pass looks like

Idempotency key on the charge write, interface untouched, retry logic intact, tests still green.

What it did

Dropped the retry logic. Silently. The diff looked clean, which makes it worse.

Cost: $0.002
Latency: 6.8s
Baseline (Claude): PASS · $0.034 · 12.1s
Attempts: 2 of 2

Extraction

PASS

Twelve scanned invoices, some smudged. The trap is in the last line: models love to guess.

Prompt · Run it yourself

Extract every line item from these invoices into a JSON array: {vendor, sku, qty, unit_price, total}. If any field is unreadable, set it to null — do not guess. Return only JSON.

[attach 10–12 of your own invoices or receipts]

What a pass looks like

Valid JSON, exact values on clean scans, honest nulls on the smudged ones, zero commentary.

What it did

Clean JSON, honest nulls on the smudged rows. Its best event by a wide margin.

Cost: $0.002
Latency: 4.2s
Baseline (Claude): PASS · $0.028 · 4.9s
Attempts: 1 of 2

Summarization

MIXED

A 40-page vendor contract. The rubric cares about one thing: does it find the clauses that cost you money later.

Prompt · Run it yourself

Summarize this contract in 300 words or less. Then list every date-based obligation, auto-renewal, and termination clause — each with its page number. If you are not sure of a page number, say so.

[paste a long contract or policy doc you actually use]

What a pass looks like

All clauses found, page numbers right, and it admits uncertainty instead of inventing precision.

What it did

Found the auto-renew on attempt two but dropped two date-based obligations from the list. Passed with edits.

Cost: $0.003
Latency: 7.1s
Baseline (Claude): PASS · $0.031 · 9.4s
Attempts: 2 of 2

Agentic tool use

FAIL

Six steps, three tools, one approval gate. Most of the bench either skips the approval or loops.

Prompt · Run it yourself

[wire up to your own sandbox/tools — never production first]

What a pass looks like

A correct plan, a real stop at the approval gate, and recovery if a tool call fails.

What it did

Skipped the approval gate on attempt one, stalled mid-plan on attempt two.

Cost: $0.002
Latency: 11.3s
Baseline (Claude): PASS · $0.041 · 26.2s
Attempts: 2 of 2

Classification

PASS

500 real support tickets, 8 queues, human labels as ground truth. Pass bar is 90% agreement.

Prompt · Run it yourself

Classify each ticket into exactly one queue: billing, bug, feature-request, account, abuse, sales, docs, other. Reply as CSV, ticket_id,queue — one row per ticket, no header, no commentary.

[export a few hundred of your own tickets or emails]

What a pass looks like

≥ 90% agreement with human labels and a parseable CSV on the first try.

What it did

90% agreement — exactly at the bar. Valid CSV, no commentary.

Cost: $0.001
Latency: 4.9s
Baseline (Claude): PASS · $0.019 · 7.7s
Attempts: 1 of 2

Bottom line // BR-007

Fine for high-volume extraction and ticket triage where a miss is cheap. Anything with edges, pay five times more for a model that keeps the details — it is still a bargain.

Method notes

1
Two attempts per test. Best attempt is graded; both are logged.
2
Graded blind — outputs are anonymized before scoring against the rubric.
3
Costs are provider list price at test date, prompt + completion tokens.
4
Test data is ours — real invoices, a real codebase, real tickets. Swap in yours.