IBM Granite 4.2 8B: the token volume where self-hosting beats the API
How to calculate the monthly token volume where renting a GPU for Granite 4.2 8B beats its API rate, and why the obvious GPU choice is usually the wrong one.
Compute economics, explained
Short and practical: every guide links to live data instead of quoting prices that rot.
GPT-Astra, Sol, Terra, and Luna: four new tiers, priced side by side
A method for ranking four same-week model launches by real per-token rates instead of their names, applied to a coding-agent workload at volume.
DeepSeek Pro vs DeepSeek Flash: pricing the newest two-tier split
Compares DeepSeek V4 Pro and V4 Flash on params, provider spread, and the token volume where the Pro premium stops paying for itself.
Pareto just got priced: where it lands on the cost/performance frontier
A worked token-mix example shows the exact output-token share where Pareto's input discount against GLM-4.5 Air disappears.
GLM, GLM Flash, or GLM-5.3 Flash: pricing Zhipu's three live tiers
Zhipu's GLM-5.2 and GLM-4.7 Flash both carry live per-token rates today; GLM-5.3 Flash carries none, and that gap should shape your routing call.
Hunyuan MT2's three sizes: a VRAM ladder from 1.8B to 30B-A3B
Hunyuan MT2 ships as 1.8B, 7B, and 30B-A3B, and the MoE tier needs a bigger card than its active-parameter count implies.
DeepSeek V4 Flash Vision: what multimodal input actually adds to your bill
DeepSeek V4 Flash Vision has no live pricing row yet, so this piece prices the real text-only model and the VRAM math for adding a vision head.
Tencent's Hy4 just got priced: where it lands against the Hunyuan lineup
Hy4 has no live pricing row yet, so this guide shows how to bracket a new flagship MoE model's cost using param math and tracked analogs before a real quote exists.
GLM-5.3 Flash Batch vs standard: is Zhipu's discount as good as Gemini's?
Compares Zhipu's GLM Flash pricing tier against Gemini's published batch discount using live catalog data and VRAM math.
Claude Fable 5.1 Batch: how much of the discount survives real workloads
How the batch discount on Claude Fable 5.1 shrinks once queue delay, retries, and cache-hit timing enter the actual bill.
Qwen3.8 Max vs Qwen3.8 Flash: which tier actually fits your workload's budget
Active-parameter math and provider spread data show when Qwen3.8 Max's reasoning depth is worth its multiplier and when Flash's discount gets eaten by retries.
Gemini 3.7 Flash just launched: is upgrading from 3.6 worth the price delta?
A framework for deciding whether to migrate to a new Flash-tier release, using live per-token rate patterns instead of vendor release notes.
Nemotron 3.5 Lightning: can you actually run it cheaper than the API?
Nemotron 3.5 Lightning has no live pricing row yet, so the real cost comparison runs through its closest tracked analog and the VRAM math behind it.
Seed 2.0 Code vs KAT-Coder: pricing two purpose-built coding models
Compares Seed 2.0 Code and KAT-Coder against priced open-weight coding models to estimate real cost when no metered API rate is published.
Grok 4.6 in agent loops: how its token bill compares to Claude Opus 5
A worked agent-loop example shows that comparing Grok 4.6 and Claude Opus 5 on listed per-token rates misses the real cost driver: turns to completion.
Qwen3.8-2.4T-A95B: the VRAM math behind a trillion-plus-parameter MoE
The VRAM and cluster math for self-hosting Qwen3.8-2.4T-A95B, and the token volume where a hosted API price would need to land to compete.
Poolside's Laguna S-2.1 just got priced: how it stacks up against the incumbents
Laguna S-2.1's listed API rates against Claude Opus 5 and GPT-5.6 Luna Pro show whether the new entrant undercuts incumbents or just adds another tab to compare.
The cheapest capable small model right now: Qwen3 Flash vs Gemini 3.6 Flash vs Flash-Lite
Ranking Qwen3 Flash, Gemini 3.6 Flash, and Gemini 3.5 Flash-Lite by real per-request cost using live provider data.
KAT-Coder Air vs Pro v2.5: pricing the two tiers against real agent workloads
Shows when KAT-Coder Air's discount over Pro v2.5 survives an input-heavy coding agent workload and when it collapses to almost nothing.
Kimi K2.7 Is Trending: The Token Volume Where Self-Hosting Beats the API
A memory and compute breakdown of Kimi K2.7 Code's footprint pinpoints the monthly token volume where renting B200 or H200 capacity undercuts the hosted API.
Gemini 3.6 Flash Batch vs standard: how much latency you trade for the discount
Shows when Gemini 3.6 Flash and 3.5 Flash-Lite's batch discount pays for the multi-hour turnaround delay and when it doesn't.
Claude Opus 5 vs Opus 5 Fast: what the 'fast' tier actually costs you
How to check whether Claude Opus 5 Fast's lower per-token rate actually lowers total agent cost once retry rates are counted, using live pricing and open-model analogs.
Multi-GPU inference: what tensor parallelism really costs
Explains how interconnect tier determines whether tensor parallelism scales linearly or falls off a cliff.
Renting from GPU marketplaces without getting burned
How to vet marketplace GPU listings for bandwidth, isolation, and hidden costs before you commit rental hours to one.
vLLM vs Ollama: prototyping is not production
Ollama and vLLM handle concurrent requests so differently that the choice determines whether your GPU bill triples once real traffic arrives.
Spot and interruptible GPU rentals: when the discount is worth it
Community and spot GPU tiers run 70%+ cheaper than secure rentals on identical silicon, but the payoff depends on whether your workload survives interruption.
GLM-5.2, Kimi K2.7, MiniMax M3: the 'want to self-host but probably shouldn't' tier
VRAM math for three frontier open-weight models shows they require multi-card GPU clusters to serve.
The local LLM hardware ladder, mid-2026
Used 24GB cards, 128GB unified memory boxes, Macs, and the RTX PRO 6000 96GB each cap out differently, and renting the same silicon is the rung most buyers skip.
The RAM price shock broke 2025's self-hosting math
DDR5 price inflation raised the cost basis for CPU-offload MoE rigs, moving the buy-versus-rent breakeven toward renting by a wide margin.
NVFP4 on Blackwell: when the fancy quant actually pays
NVFP4 only speeds up inference on Blackwell tensor cores; on Hopper and Ada silicon it shrinks VRAM but leaves throughput untouched.
DSpark made self-hosting DeepSeek V4 Flash faster, and the API price didn't move
DeepSeek's DSpark speculative decoding lowers self-hosted V4 Flash serving cost while API pricing holds, moving the rent-vs-API breakeven point.
What a 1M-token context actually costs (spoiler: a huge spread)
How to price filling a 1M-token context window across providers and self-hosted GPUs, and when compacting context beats paying for either.
Total params pay the memory bill, active params pay the compute bill
Explains why sparse MoE models split into two separate cost drivers, and why that split favors A3B-class models for self-hosting over dense 70B.
The flat-rate agent era is over: subscription vs API vs open models, priced honestly
How to size agent-token volume against subscription credits, raw API, open-weight models, and self-hosted GPUs now that flat-rate plans stop covering programmatic use.
Sticker price lies: cache-hit rates decide what you actually pay
Explains how to calculate the effective per-token price of an agent workload once cache-hit rate, write premiums, and TTLs are factored in.
Why your coding agent costs 10-100x what chat does
Agent loops rebill the growing transcript on every tool call, so cost per completed task can run far above a single chat turn.
DeepSeek retires the R1-era API on July 24: your migration options, priced
How to migrate off DeepSeek's retiring reasoner API by July 24, priced across V4 Flash, V4 Pro, third-party R1 hosting, and self-hosting the weights.
The breakeven math: API tokens vs renting a GPU
The complete formula for deciding whether to pay per token or rent the hardware: the three variables that matter, and the mistakes that flip the answer.
Secure, community, marketplace: how to read GPU rental tiers
The same H100 can cost $1.30 or $3.30 an hour. The difference is the tier: what each one guarantees, and when the cheap one is the right call.
H100 vs H200 vs B200 for inference: which should you rent?
Three generations of NVIDIA datacenter GPUs are rentable side by side right now. How to choose by workload: memory, bandwidth, or compute.
The cheapest way to run DeepSeek R1 in 2026
API, managed endpoints, or renting your own GPU cluster: how to cost out DeepSeek R1's 685B MoE, with the distillation trap and a decision rule to apply today.