Meter-SPW

[ LLM Cost Optimizer ]

Our pricing is performance-based: the router fee* only applies when verified cost savings are achieved.
You only pay when we deliver real savings. No savings, no router fee*

Every dollar saved is fully transparent and auditable, down to each request.
Satisfaction guaranteed — if approved, we'll issue a full refund of fees paid for each subpar routing decision.

See our latest product update, supported models, or FAQ

Meter cross-vendor mode benchmark 09/2026

Select systems to compare (2–3)
Meter-SPW

Compare Competition

Try Meter-SPW
Overall Leader
Meter-SPW
Total Cost $0.78 −92% vs base
Total Quality 8.27 / 10 −12% vs base
Cost $0.78
Quality 8.27
Latency 21,946 ms
OpenRouter auto
Total Cost $12.31 +31% vs base
Total Quality 8.26 / 10 −12% vs base
Cost $12.31
Quality 8.26
Latency 53,819 ms
Microsoft Foundry
Total Cost $0.79 −92% vs base
Total Quality 6.00 / 10 −36% vs base
Cost $0.79
Quality 6.00
Latency 176,421 ms

Baseline

Baseline gpt-5.6-sol called direct
Total Cost $9.36 — vs base
Total Quality 9.40 / 10 — vs base
Cost $9.36
Quality 9.40
Latency 62,592 ms

Metric Spotlight

Cost-Quality Efficiency (CQE) Higher is better
Try your prompt and choose measured strategies
BEST
Meter-SPW
Cheapest
68%
OpenRouter auto
high, US models
0% −100% vs. best
Microsoft Foundry
cost, all models
21% −69% vs. best

Trade-off Lab

Explore the trade-offs between cost, quality, and latency for the systems you picked.

Best for Different Needs
  • Best Overall Meter-SPW · Cheapest
  • Best CQE Meter-SPW · Cheapest 68%
  • Best Speed Meter-SPW · Cheapest 21,946 ms
Cheapest
Reason 8.3
Cost $0.78

Capability Profile

CheapestHighest reasoningMost expensiveLowest reasoning SciTech

Evidence & Methodology

Transparent. Reproducible. Verifiable.

Quality
Judged by frontier LLMs: Fable 5.1 and Astra 6 independently, each scoring 1–10 in 0.5 increments against a structured rubric, with cross-validation, an in-house confidence algorithm, and a tiebreaker for disagreements greater than 1 point.
Run-to-run variance
Quality scores and pricing are a calculated sample from an average of 2-3 reruns for each mode. The same model can score and price differently on a rerun due to the probabilistic nature of LLMs.
Model Pool
All models of Meter are US models. The label "US models" means all popular models by US providers. The label "all models" means all possible models within that routing system without any restriction.
Meter's supported models:
See supported models
Prompt Category
Expert-level difficulty across 7 categories: Coding, CS Theory, Math, Factual, Science, Reasoning, Creative
Sample prompts:
See sample questions
More questions?
See the FAQ
Cheapest variants
Cheapest 92% saved
lowest cost
Total Cost $0.78
Total Quality 8.27 / 10 on 140 prompts
Cheapest++ 95% saved
more prompts cost less, and stay on the providers you use
Total Cost $0.44
Total Quality 7.92 / 10 on 140 prompts
2× Cheapest 96% saved
some prompts cost less, answers take longer
Total Cost $0.40
Total Quality 8.04 / 10 on 140 prompts
4× Cheapest 98% saved
every prompt costs less, answers take longest
Total Cost $0.20
Total Quality 7.95 / 10 on 140 prompts
Model distribution
SystemModelAvg total tokensPercentage
Baseline gpt-5.6-solcalled direct gpt-5.6-sol 3,183 100%
Meter-SPWcheapest gpt-5.6-luna 2,116 66.4%
grok-4-1-fast-reasoning 890 20%
gpt-5.6-terra 2,745 12.9%
gemini-2.5-flash-lite 1,533 0.7%
OpenRouter autohigh, US models openai/gpt-5.6-sol 3,381 62.1%
anthropic/claude-sonnet-4.6 3,539 30.7%
openai/gpt-5.5 5,619 5%
anthropic/claude-sonnet-5 11,620 1.4%
openai/gpt-5.6-luna 2,425 0.7%
Microsoft Foundrycost, all models grok-4-1-fast-reasoning 1,179 55.7%
gpt-oss-120b 4,522 17.9%
gpt-4o-mini-2024-07-18 1,222 4.3%
gpt-5.6-luna-2026-07-09 2,769 3.6%
gpt-5.4-nano-2026-03-17 4,505 2.9%
gpt-5.2-2025-12-11 2,965 2.1%
gpt-5.6-terra-2026-07-09 2,424 1.4%
gpt-4.1-2025-04-14 1,415 1.4%
Llama-4-Maverick-17B-128E-Instruct-FP8 1,856 1.4%
gpt-5.5-2026-04-24 3,988 1.4%
o4-mini-2025-04-16 1,379 1.4%
gpt-5-2025-08-07 5,668 1.4%
deepseek-v3.2 976 1.4%
gpt-5.4-mini-2026-03-17 10,164 0.7%
gpt-5.6-sol-2026-07-09 939 0.7%
gpt-5-nano-2025-08-07 10,076 0.7%
gpt-4.1-mini-2025-04-14 1,517 0.7%
gpt-4o-2024-11-20 1,136 0.7%
Sample questions
  • Code write c62-code-write-001-rust-transactional-build-graph

    In stable Rust, implement `BuildGraph` with `add_target(name)`, transactional `set_dependencies(target, deps)`, `mark_changed(target)`, and `rebuild_plan()`. Replacing dependencies must either commit completely or return a concrete directed cycle without changing the graph. A rebuild includes every changed target and all transitive dependents, orders dependencies before dependents, and breaks otherwise-free ties by target creation order. Reject unknown names and duplicate dependency entries. Return compilable code, complexity bounds, and four focused tests including rollback after a cycle.

  • Code write c62-code-write-011-cuda-segmented-scan

    Implement an inclusive segmented prefix sum in CUDA C++ where `head[i]=1` starts a segment. Handle arbitrary `n` using multiple blocks, with the explicit constraint that the first pass launches at most 1024 blocks so block summaries fit in one second-pass block. Provide the three kernels plus compact host orchestration, a CPU oracle, and one randomized test loop.

  • CS theory c62-code-theory-005-differential-privacy

    Prove the privacy guarantee of the Gaussian mechanism using privacy loss, then compare basic composition, advanced composition, zCDP/Renyi-DP accounting, and privacy amplification by subsampling. Explain why adaptively chosen queries still compose and convert one concrete rho-zCDP budget to `(epsilon,delta)`.

  • CS theory c62-code-theory-016-succinct-rank

    Prove how a bit vector supports O(1) rank and select with o(n) extra bits on a word RAM. Lay out superblocks, subblocks, lookup tables, parameter sizes, and explain why storing every prefix count would cost too much. State the model assumptions and select's additional indexing idea.

  • Math c62-math-014-reed-solomon

    Over F_17, encode message polynomial m(x)=3+5x+2x^2 at evaluation points 1,...,7. Suppose received values have errors at two unknown positions. Demonstrate syndrome/Berlekamp-Welch decoding by constructing equations, locate and correct errors for a concrete corrupted word you specify, and state the decoding radius.

  • Math c62-math-012-stability-bdf

    Derive the region of absolute stability of BDF2 for y'=lambda y, and decide whether BDF2 is A-stable and L-stable. Carefully define stability for a two-step method using the root condition, and compare with backward Euler as z tends to minus infinity.

  • Factual c62-factual-005-sovereign-debt

    Explain sovereign-debt restructuring without a global bankruptcy court. Cover collective-action clauses, pari passu litigation, holdouts, aggregation across bond series, IMF lending-into-arrears policy, domestic-law versus foreign-law bonds, and why restructuring nominal principal alone may not restore sustainability.

  • Factual c62-factual-020-survey-measurement

    Explain total survey error: coverage, sampling, nonresponse, measurement, processing, and adjustment error. Analyze why weighting can reduce bias yet increase variance, how mode and question order change responses, and how to validate a cross-national latent construct with differential item functioning.

  • Science c62-science-007-ecology-metapop

    Four identical habitat patches have extinction probability e=0.20 per year when occupied. Each empty patch is colonized independently with probability 1-(1-c)^k where c=0.15 and k is the number of occupied other patches after extinction. Construct the Markov transition matrix for occupied-patch count and find or numerically characterize its stationary distribution.

  • Science c62-science-006-population-genetics

    At one biallelic locus, genotype fitnesses are w_AA=1, w_Aa=1, w_aa=0.8 and mutation A→a occurs at 1e-5 with negligible back mutation. Derive the recessive mutation–selection balance, estimate q, and compute expected affected fraction. Explain when drift invalidates this deterministic result.

  • Reasoning c62-reasoning-016-insurance-adverse-selection

    An insurer offers high- and low-coverage contracts to privately informed high- and low-risk customers. Draw incentive-compatibility and participation constraints, derive the qualitative Rothschild–Stiglitz separating outcome, and explain why a seemingly profitable pooling contract can unravel.

  • Reasoning c62-reasoning-002-sequential-trial

    A trial checks significance every week and stops the first time p<0.05, but reports an ordinary fixed-sample p-value. Explain optional-stopping inflation, construct a valid correction using alpha spending or an e-value/test martingale, and compare what each guarantees under an unbounded horizon.

  • Creative c62-creative-012-palimpsest

    Write two interleaved diary entries from occupants of the same room exactly 100 years apart. Alternate paragraphs, six per diarist. Each later diarist paragraph unknowingly completes a sentence begun in the preceding earlier paragraph, while preserving two distinct voices and revealing a shared danger.

  • Creative c62-creative-007-deposition

    Write 18 question–answer exchanges from a civil deposition. The witness never lies and answers every question literally, yet conceals that the allegedly stolen violin was theirs. By exchange 18, the attorney should prove ownership using only earlier exact wording. No speech may exceed 18 words.

Same-vendor mode Benchmark 06/2026
SystemTotal costvs baselineMean quality (of 10)Mean latency
Baseline gpt-5.5 called direct $1.42 9.14 17,354 ms
Meter-SPW router (No cache mode) $0.64 −55% 9.09 17,428 ms
NotDiamond router $1.61 +14% 8.69 18,527 ms
OpenRouter router $1.70 +20% 8.68 23,917 ms
Microsoft Foundry router $2.32 +64% 9.15 28,174 ms
  • MS Foundry routes 53% of prompts to gpt-5 thinking with 2x longer output, costing 64% higher than baseline gpt-5.5

60% of prompts never needed the expensive model.

routed to
All routers share the same pool of similar models
RouterModelAvg total tokensPercentage
Baseline gpt-5.5 gpt-5.5 1,019 100%
Meter-SPW gpt-5-mini 1,527 50%
gpt-5.5 940 40%
gpt-5-nano 1,348 10%
Microsoft Foundry gpt-5 3,187 53%
gpt-5.5 1,302 22%
gpt-5-mini 2,174 17%
gpt-5.4 1,665 8%
OpenRouter openai/gpt-5.5 1,497 58%
anthropic/claude-4.6-opus 525 42%
NotDiamond gpt-5.5 1,263 58%
claude-opus-4-6 637 42%