The 2026 model market, in one table: every model, provider, and price worth comparing
A versioned, sourced catalog of the models on the market today — per-token in/out prices, cache-read rates, context, modalities, capability evidence, and the Artificial Analysis Intelligence Index — grouped by family so you can compare price against performance at a glance.
The 2026 model market, in one table
Catalog version 2026.07.2 · compiled 2026-07-24. This is a snapshot of the models you can
buy today, the providers that serve them, and what they cost — assembled so you can compare price
against performance without cross-referencing a dozen pricing pages and leaderboards.
Two models can sit in the same tier of a public coding benchmark and differ by ~34× on the output token price. GPT-5.6 Sol lists at $5.00 / $30.00 per million tokens (in / out); DeepSeek V4 Pro lists at $0.435 / $0.87. The gap between "the name you trust" and "the price you pay" is the entire reason to keep a table like this.
How to read the tables
- Price is per 1M tokens, input / output. Cache read is the discounted rate for prompt-cache hits where a provider publishes one.
- Capability scores are
0..1per task category, and each carries a basis you should weigh:- published — a cited benchmark measurement with a URL and date (e.g.
GPQA Diamond 94.1%). - op-rank — the model's placement in an operator's July-2026 shortlist for that category: directional, not a number it earned on a board we hold.
- assumed — a fallback estimate.
- Most capability placements below are operator-supplied and not independently verified — several of these models postdate our sourcing window. Prices are cited; capability rankings largely are not yet. Cells are left blank rather than invented.
- published — a cited benchmark measurement with a URL and date (e.g.
- AA Idx is the Artificial Analysis Intelligence Index (v4.1 composite of 9 evaluations, as of 2026-07-23) — a single model-level "general capability" number for cross-family comparison, not a per-task score.
Anthropic — Claude
Source: claude.com/pricing and platform.claude.com pricing — first-party prices confirmed 2026-07-24.
| Model? | In $/1M? | Out $/1M? | Cache read? | Context? | Capability (basis)? | AA Idx? |
|---|---|---|---|---|---|---|
claude-fable-5 |
10.00 | 50.00 | 1.00 | — | 0.95code/reasoning/qa/visionop-rank0.90chat | 60 |
claude-mythos-5 |
10.00 | 50.00 | 1.00 | 1M | — | — |
claude-opus-4-8 |
5.00 | 25.00 | 0.50 | — | 0.95code0.95long_contextop-rank0.90chat | 56 |
claude-opus-4-7 |
5.00 | 25.00 | 0.50 | 1M | — | — |
claude-opus-4-6 |
5.00 | 25.00 | 0.50 | 1M | — | — |
claude-opus-4-5 |
5.00 | 25.00 | 0.50 | 200k | 0.895qapublished, MMLU-Pro 89.5% | — |
claude-opus-4-1 |
15.00 | 75.00 | 1.50 | 200k | (deprecated) | — |
claude-sonnet-5 |
2.00 | 10.00 | 0.20 | — | 0.88vision/codeop-rank0.88chat | 53 |
claude-sonnet-4-6 |
3.00 | 15.00 | 0.30 | 1M | — | — |
claude-sonnet-4-5 |
3.00 | 15.00 | 0.30 | 200k | — | — |
claude-haiku-4-5 |
1.00 | 5.00 | 0.10 | 200k | — | — |
claude-haiku-3-5 |
0.80 | 4.00 | 0.08 | 200k | (retired; Bedrock/GCP only) | — |
claude-sonnet-5 is at an introductory rate through 2026-08-31 ($2/$10, $0.20 cache read);
it reverts to $3/$15 ($0.30 cache read) on 2026-09-01. All Claude models are text+vision except
Haiku 3.5 and Mythos 5 (text).
OpenAI — GPT-5
Source: developers.openai.com pricing,
as of 2026-07-23. Also served on Azure OpenAI at parity for gpt-5.6-sol.
| Model? | In $/1M? | Out $/1M? | Capability (basis)? | AA Idx? | Notes? |
|---|---|---|---|---|---|
gpt-5.6-sol |
5.00 | 30.00 | 0.95math/code/qaop-rank0.941reasoningpublished, GPQA 94.1%0.88vision | 59 | flagship |
gpt-5.6-luna |
1.00 | 6.00 | — | — | text+vision |
gpt-5.6-terra |
2.50 | 15.00 | — | — | text+vision |
gpt-5.5 |
5.00 | 30.00 | — | — | |
gpt-5.5-pro |
30.00 | 180.00 | — | — | pro tier |
gpt-5.4 |
2.50 | 15.00 | — | — | |
gpt-5.4-pro |
30.00 | 180.00 | — | — | pro tier |
gpt-5.4-mini |
0.75 | 4.50 | — | — | text+vision |
gpt-5.4-nano |
0.20 | 1.25 | — | — | text |
gpt-5.3-codex |
1.75 | 14.00 | — | — | code-specialised, text |
The pro tiers at $30 / $180 are the most expensive offerings in the catalog — roughly 6×
the flagship on the input leg, 6× on output.
Google — Gemini
Source: ai.google.dev pricing, as of
2026-07-23, except the two pro/flash entries marked Vertex (operator table, 2026-07-21,
unverified). All are text+vision.
| Model? | In $/1M? | Out $/1M? | Context? | Capability (basis)? | AA Idx? | Served via? |
|---|---|---|---|---|---|---|
gemini-3.1-pro |
2.00 | 12.00 | — | 0.95math/long_contextop-rank0.941reasoningpublished, GPQA 94.1%0.88qa | 46 | Vertex |
gemini-3.6-flash |
1.50 | 7.50 | — | 0.88long_context/summarization/extractionop-rank | 50 | Vertex |
gemini-3.5-flash |
1.50 | 9.00 | — | — | — | Gemini API |
gemini-3.5-flash-lite |
0.30 | 2.50 | — | — | — | Gemini API |
gemini-3.1-flash-lite |
0.25 | 1.50 | — | — | — | Gemini API |
gemini-2.5-pro |
1.25 | 10.00 | ≤200k | — | — | Gemini API |
gemini-2.5-flash |
0.30 | 2.50 | 1M | — | — | Gemini API |
gemini-2.5-flash-lite |
0.10 | 0.40 | — | — | — | Gemini API |
gemini-2.5-flash-lite at $0.10 / $0.40 is the cheapest metered offering in the entire
catalog.
DeepSeek — open-weight, first-party API
Source: operator table, 2026-07-21 (prices cited, capability placements unverified). All three are open-weight and served on DeepSeek's OpenAI-compatible API; V4 Pro is also hosted on Fireworks and Together, which quoted no public per-token price.
| Model? | In $/1M? | Out $/1M? | Capability (basis)? | AA Idx? |
|---|---|---|---|---|
deepseek-v4-pro |
0.435 | 0.87 | 0.88code/extraction/summarizationop-rank0.85chat | 44 |
deepseek-v4-base |
0.27 | 0.55 | 0.88mathop-rank0.80chat | — |
deepseek-r1 |
0.55 | 2.19 | 0.88math/reasoningop-rank0.80chat | — |
At $0.435 / $0.87, deepseek-v4-pro is roughly 1/10th the price of the flagships it shares a
benchmark tier with for coding.
Specialists & other open-weight
Source: operator table, 2026-07-21 (unverified) except where a published board is cited.
| Model? | Provider(s)? | In $/1M? | Out $/1M? | Capability (basis)? | AA Idx? |
|---|---|---|---|---|---|
kimi-k3 |
Moonshot / OpenRouter | 3.00 | 15.00 | 0.935reasoningpublished, GPQA 93.5%0.85chat | 57 |
glm-5.2 |
Zhipu / OpenRouter | 1.40 | 4.40 | 0.85chat/summarizationop-rank | 51 |
llama-3-70b |
Self-hosted / Fireworks | serving-derived | serving-derived | 0.80chat/extraction/summarizationassumed | — |
llama-3-70b has no single list price: bought as committed capacity (e.g. Azure PTU) its marginal
cost is near-zero until a utilization knee; run on your own H100s its per-token price is derived
from instance $/hr divided by achieved throughput; rented serverless it is metered like any vendor
API. Same weights, three different cost curves — which is why the market is a matrix, not a list.
The price-performance reading
Sort the evidenced models by the cheapest option that carries a real capability score for each kind of work, against a flagship in the same tier:
| Workload? | Cheapest with capability evidence? | Its price (in/out)? | Flagship comparison? | Flagship price? |
|---|---|---|---|---|
| Coding | deepseek-v4-pro (0.88) |
0.435 / 0.87 | gpt-5.6-sol · claude-opus-4-8 |
5 / 30 · 5 / 25 |
| Math | deepseek-v4-base (0.88) |
0.27 / 0.55 | gpt-5.6-sol |
5 / 30 |
| Reasoning | deepseek-r1 (0.88) |
0.55 / 2.19 | kimi-k3 (0.935) · gpt-5.6-sol (0.941) |
3 / 15 · 5 / 30 |
| Extraction / summarization | deepseek-v4-pro (0.88) |
0.435 / 0.87 | claude-opus-4-8 |
5 / 25 |
| Chat | deepseek-v4-base (0.80) |
0.27 / 0.55 | claude-fable-5 (0.90) |
10 / 50 |
| QA | claude-opus-4-5 (0.895) |
5 / 25 | claude-fable-5 / gpt-5.6-sol (0.95) |
10 / 50 · 5 / 30 |
| Translation | (no model in catalog carries a translation score) | — | — | — |
The blank rows are the honest part: for QA there is no cheap model with published or shortlisted evidence, and for translation there is no capability number at all. A catalog that filled those in would be inventing data.
Provenance and staleness
- Anthropic first-party prices: vendor-confirmed 2026-07-24.
- OpenAI / Google prices: vendor docs, as-of 2026-07-23.
- DeepSeek, Kimi, GLM, GPT-5.6 Sol, Gemini 3.x capability placements and several prices: operator shortlist, as-of 2026-07-21, independently unverified — treat as directional until a cited board replaces them.
- AA Intelligence Index figures: Artificial Analysis leaderboard, as-of 2026-07-23.
This is a point-in-time snapshot (2026.07.2). Prices and placements move; re-check the linked
sources before you commit spend against any single cell.