Daimon

talus protocol

Models and prices.

216 models. You pay OpenRouter's price x 1.20 for the tokens actually used, never more than the cap you set aside for the call. A chat@1 call costs at least 0.005 USDC.

How a call is priced

Each call costs the real model price plus 20%. Answers are limited to 1000 output tokens (about 750 words),2000 for the models with a measured throughput floor (deepseek/deepseek-v4.1-flash, deepseek/deepseek-v4.1-flash-1017), or less when the model's own limit is lower. A call also costs a small Talus Protocol network fee in SUI, paid from your own wallet; that is separate from the prices on this page.

You set aside a cap for each call. It must cover the worst case, so the whole answer fits. Whatever the answer does not cost comes back. The cap is at most 1 USDC. The last column shows the smallest cap for a short question (about 200 characters) and a full-length answer. The worst case is computed like this:

max_cost = ceil((prompt_bound x max(input, cache_write, 2 x input) + request_fee + T x max(output, reasoning)) x 1.2 x 1e6), prompt_bound = request_bytes + 64 + 32 + 16 x messages (one token per byte, the proxy's own upper bound), T = min(time ceiling, model output limit), time ceiling = output_cap_tokens (measured_output_cap_tokens for a model with a measured throughput floor); a cap below this can cut the answer short or be refused, a cap above 1 USDC is not accepted.

Prices change upstream; this list was captured on 2026-10-19.

Models

ModelYou pay per 1M tokens inYou pay per 1M tokens outMax answer (tokens)Cap for a short question (micro-USDC)
~anthropic/claude-haiku-latest$0.12 (up to $0.6)$0.6 (up to $3)1000742
~deepseek/deepseek-pro-latest$0.27$9.610009,919
~openai/gpt-mini-latest$0.9$5.410006,450
~unbiased/pareto-latest$0.96$3.8410004,960
aion-labs/aion-rp-llama-3.1-8b$0.96$1.9210003,053
amazon/nova-2-lite-v1$0.36$310003,419
amazon/nova-lite-v1$0.072$0.2881000372
amazon/nova-micro-v1$0.042$0.1681000217
amazon/nova-premier-v1$3$15100018,492
amazon/nova-pro-v1$0.96$3.8410004,950
anthracite-org/magnum-v4-72b$3$610009,529
anthropic/claude-haiku-4.5$1.2$610007,407
anthropic/claude-haiku-4.5:batch$0.6$310003,711
anthropic/claude-haiku-5.5$0.12 (up to $0.6)$0.6 (up to $3)1000741
anthropic/claude-haiku-5.5:batch$0.06 (up to $0.3)$0.3 (up to $1.5)1000372
anthropic/claude-opus-4.1$18$901000111,060
anthropic/claude-opus-4.1:batch$9$45100055,638
anthropic/claude-opus-4.5$6$30100037,021
anthropic/claude-opus-4.5:batch$3$15100018,546
anthropic/claude-opus-4.6$6$30100037,021
anthropic/claude-opus-4.6:batch$3$15100018,546
anthropic/claude-opus-4.7$6$30100037,021
anthropic/claude-opus-4.7:batch$3$15100018,546
anthropic/claude-opus-4.8$6$30100037,021
anthropic/claude-opus-4.8:batch$3$15100018,546
anthropic/claude-sonnet-4.5$3.6 (up to $7.2)$18 (up to $27)100022,227
anthropic/claude-sonnet-4.5:batch$1.8 (up to $3.6)$9 (up to $13.5)100011,135
anthropic/claude-sonnet-4.6$3.6$18100022,227
anthropic/claude-sonnet-4.6:batch$1.8$9100011,135
bytedance-seed/seed-1.6$0.3 (up to $0.6)$2.4 (up to $4.8)10002,750
bytedance-seed/seed-1.6-flash$0.09 (up to $0.12)$0.36 (up to $0.96)1000467
bytedance-seed/seed-2-1-turbo$0.6$310003,707
bytedance-seed/seed-2.0-code$0.6 (up to $1.2)$3.6 (up to $7.2)10004,306
bytedance-seed/seed-2.0-lite$0.3 (up to $0.6)$2.4 (up to $4.8)10002,753
bytedance-seed/seed-2.0-mini$0.12 (up to $0.24)$0.48 (up to $0.96)1000622
bytedance/ui-tars-1.5-7b$0.12$0.241000381
cognitivecomputations/dolphin-mistral-24b-venice-edition$0.24$1.0810001,376
cohere/command-a$3$12100015,457
cohere/command-a-plus$0.36$1.810002,219
cohere/command-r-08-2024$0.18$0.721000931
cohere/command-r-plus-08-2024$3$12100015,535
cohere/command-r7b-12-2024$0.045$0.181000233
deepseek/deepseek-chat$0.384$1.06810001,515
deepseek/deepseek-chat-v3-0324$0.348$1.36810001,779
deepseek/deepseek-chat-v3.1$0.3$1.1410001,493
deepseek/deepseek-v3.1-terminus$0.324$1.210001,583
deepseek/deepseek-v3.2$0.336$0.5041000896
deepseek/deepseek-v3.2-exp$0.324$0.4921000872
deepseek/deepseek-v4-flash$0.1092$0.21841000347
deepseek/deepseek-v4-pro$1.14631$2.2926210003,632
deepseek/deepseek-v4-pro-0813$0.792$2.37610003,309
deepseek/deepseek-v4.1-flash$0.05376$0.0962000263
deepseek/deepseek-v4.1-flash-1017$0.36$1.4420003,357
elorian/glimpse$0.72$3.610004,429
google/gemini-2.5-flash$0.36$310003,420
google/gemini-2.5-flash-lite$0.12$0.481000622
google/gemini-2.5-flash-lite:batch$0.06$0.241000312
google/gemini-2.5-flash:batch$0.18$1.510001,713
google/gemini-3-flash-preview$0.6$3.610004,307
google/gemini-3-flash-preview:batch$0.3$1.810002,157
google/gemma-2-27b-it$0.78$0.7810001,687
google/gemma-3-12b-it$0.06$0.181000250
google/gemma-3-27b-it$0.096$0.421000532
google/gemma-3-4b-it$0.06$0.121000190
google/gemma-4-26b-a4b-it$0.108$0.361000487
google/gemma-4-31b-it$0.24$0.481000759
gryphe/mythomax-l2-13b$0.096$0.1321000244
ibm-granite/granite-4.0-h-micro$0.0204$0.13441000159
inference-net/schematron-v2-small$0.06$0.2761000348
inference-net/schematron-v2-turbo$0.036$0.181000223
mancer/weaver$0.48$0.910001,451
meta-llama/llama-3.1-70b-instruct$0.48$0.4810001,050
meta-llama/llama-3.1-8b-instruct$0.06$0.0961000168
meta-llama/llama-3.2-1b-instruct$0.0324$0.24121000280
meta-llama/llama-3.2-3b-instruct$0.06108$0.4021000475
meta-llama/llama-3.3-70b-instruct$0.12$0.3841000527
meta-llama/llama-4-maverick$0.225$0.78310001,048
meta-llama/llama-4-scout$0.12$0.361000501
meta-llama/llama-guard-4-12b$0.216$0.2161000471
microsoft/phi-4$0.084$0.1681000265
microsoft/wizardlm-2-8x22b$0.744$0.74410001,616
minimax/minimax-01$0.24$1.3210001,598
minimax/minimax-m1$0.66$2.6410003,403
minimax/minimax-m2-her$0.36$1.4410001,860
minimax/minimax-m3$0.36$1.4410001,857
mistralai/codestral-2508$0.36$1.0810001,501
mistralai/codestral-2508:batch$0.18$0.541000753
mistralai/devstral-2512$0.48$2.410002,960
mistralai/ministral-14b-2512$0.24$0.241000523
mistralai/ministral-3b-2512$0.12$0.121000261
mistralai/ministral-8b-2512$0.18$0.181000392
mistralai/ministral-8b-2512:batch$0.09$0.091000197
mistralai/mistral-large$2.4$7.210009,999
mistralai/mistral-large-2407$2.4$7.2100010,023
mistralai/mistral-large-2512$0.6$1.810002,506
mistralai/mistral-large-2512:batch$0.3$0.910001,257
mistralai/mistral-medium-3$0.48$2.410002,963
mistralai/mistral-medium-3-5$1.8$9100011,117
mistralai/mistral-medium-3-5:batch$0.9$4.510005,570
mistralai/mistral-medium-3.1$0.48$2.410002,965
mistralai/mistral-medium-3.1:batch$0.24$1.210001,486
mistralai/mistral-nemo$0.0348$0.036100077
mistralai/mistral-saba$0.24$0.7210001,000
mistralai/mistral-small-24b-instruct-2501$0.06$0.0961000169
mistralai/mistral-small-2603$0.18$0.721000932
mistralai/mistral-small-2603:batch$0.09$0.361000467
mistralai/mistral-small-3.1-24b-instruct$0.4212$0.66610001,172
mistralai/mistral-small-3.2-24b-instruct$0.1125$0.31000435
mistralai/mixtral-8x22b-instruct$2.4$7.2100010,042
mistralai/voxtral-small-24b-2507$0.12$0.361000503
moondream/moondream3-preview$0.36$310003,424
moondream/moondream3.1-9b-a2b$0.36$310003,425
moonshotai/kimi-k2$0.684$2.7610003,551
moonshotai/kimi-k2-0905$0.72$310003,840
morph/morph-v3-fast$0.96$1.4410002,552
morph/morph-v3-large$1.08$2.2810003,533
nex-agi/nex-n2.5-mini$0.03$0.121000155
nex-agi/nex-n2.5-pro$0.09$0.31000405
nousresearch/hermes-3-llama-3.1-405b$1.2$1.210002,631
nousresearch/hermes-3-llama-3.1-70b$0.84$0.8410001,840
nousresearch/hermes-4-405b$1.2$3.610005,007
nvidia/nemotron-3-nano-30b-a3b$0.072$0.2881000373
nvidia/nemotron-3.5-lightning$0.084$0.241000339
nvidia/nemotron-3.5-super-vl$0.12$0.481000622
openai/gpt-3.5-turbo$0.6$1.810002,497
openai/gpt-3.5-turbo-0613$1.2$2.410003,804
openai/gpt-3.5-turbo-16k$3.6$4.810009,005
openai/gpt-3.5-turbo-instruct$1.8$2.410004,521
openai/gpt-3.5-turbo:batch$0.3$0.910001,252
openai/gpt-4$36$721000113,185
openai/gpt-4-turbo$12$36100049,872
openai/gpt-4-turbo:batch$6$18100025,009
openai/gpt-4.1$2.4$9.6100012,356
openai/gpt-4.1-mini$0.48$1.9210002,476
openai/gpt-4.1-mini:batch$0.24$0.9610001,241
openai/gpt-4.1-nano$0.12$0.481000619
openai/gpt-4.1-nano:batch$0.06$0.241000311
openai/gpt-4.1:batch$1.2$4.810006,192
openai/gpt-4o$3$12100015,439
openai/gpt-4o-2024-05-13$6$18100025,009
openai/gpt-4o-2024-08-06$3$12100015,505
openai/gpt-4o-2024-11-20$3$12100015,505
openai/gpt-4o-mini$0.18$0.721000929
openai/gpt-4o-mini-2024-07-18$0.18$0.721000933
openai/gpt-5.1$1.5$12100013,722
openai/gpt-5.1:batch$0.75$610006,870
openai/gpt-5.2$2.1$16.8100019,211
openai/gpt-5.2-chat$2.1$16.8100019,232
openai/gpt-5.2:batch$1.05$8.410009,618
openai/gpt-5.3-codex$2.1$16.8100019,236
openai/gpt-5.4$3 (up to $6)$18 (up to $27)100021,444
openai/gpt-5.4-mini$0.9$5.410006,443
openai/gpt-5.4-mini:batch$0.45$2.710003,227
openai/gpt-5.4-nano$0.24$1.510001,778
openai/gpt-5.4-nano:batch$0.12$0.751000891
openai/gpt-5.4:batch$1.5 (up to $3)$9 (up to $13.5)100010,741
openai/gpt-chat-latest$6$36100042,984
perceptron/perceptron-mk1$0.18$1.810002,011
perceptron/perceptron-mk1.5$0.18$1.810002,012
qwen/qwen-2.5-72b-instruct$0.432$0.481000987
qwen/qwen-2.5-7b-instruct$0.12$0.241000381
qwen/qwen-2.5-coder-32b-instruct$0.792$1.210002,138
qwen/qwen-plus$0.312 (up to $0.936)$0.936 (up to $2.808)10001,295
qwen/qwen2.5-vl-72b-instruct$0.96$1.210002,329
qwen/qwen3-14b$0.144$0.2881000454
qwen/qwen3-235b-a22b-2507$0.108$0.661000787
qwen/qwen3-30b-a3b-instruct-2507$0.108$0.361000488
qwen/qwen3-32b$0.096$0.3361000447
qwen/qwen3-coder$0.36$1.210001,615
qwen/qwen3-coder-30b-a3b-instruct$0.084$0.3361000436
qwen/qwen3-coder-flash$0.234 (up to $0.624)$1.17 (up to $3.12)10001,443
qwen/qwen3-coder-next$0.144$0.9610001,128
qwen/qwen3-next-80b-a3b-instruct$0.108$1.3210001,448
qwen/qwen3-vl-235b-a22b-instruct$0.252$2.2810002,579
qwen/qwen3-vl-30b-a3b-instruct$0.18$0.721000933
qwen/qwen3-vl-8b-instruct$0.3$0.910001,251
qwen/qwen3.5-122b-a10b$0.312$2.49610002,860
qwen/qwen3.5-27b$0.324$2.59210002,966
qwen/qwen3.5-35b-a3b$0.18$1.210001,409
qwen/qwen3.5-397b-a17b$0.6$4.3210005,019
qwen/qwen3.5-9b$0.12$0.181000318
qwen/qwen3.5-flash-02-23$0.078$0.3121000404
qwen/qwen3.5-plus-02-15$0.312 (up to $0.39)$1.872 (up to $2.34)10002,236
qwen/qwen3.5-plus-20260420$0.36 (up to $0.45)$2.16 (up to $2.7)10002,582
qwen/qwen3.6-flash$0.225 (up to $0.9)$1.35 (up to $3.6)10001,611
qwen/qwen3.6-plus$0.39 (up to $1.56)$2.34 (up to $4.68)10002,791
rekaai/reka-edge$0.12$0.121000259
relace/relace-apply-3$1.02$1.510002,686
relace/relace-search$1.2$3.610004,993
sao10k/l3-lunaris-8b$0.048$0.061000116
sao10k/l3.1-euryale-70b$1.02$1.0210002,210
tencent/hunyuan-a13b-instruct$0.168$0.6841000882
tencent/hy-mt2-1.8b$0.0528$0.21241000274
tencent/hy-mt2-30b-a3b$0.0888$0.3541000458
tencent/hy-mt2-7b$0.0888$0.3541000457
thedrummer/cydonia-24b-v4.1$0.36$0.610001,023
thedrummer/skyfall-36b-v2$0.66$0.9610001,733
thedrummer/unslopnemo-12b$0.48$0.4810001,042
unbiased/pareto-26.10$0.96$3.8410004,956
unbiased/pareto-26.9$3$9100012,481
undi95/remm-slerp-l2-13b$0.42$0.7810001,271
upstage/solar-mini4$0.06$0.241000310
upstage/solar-pro-3$0.18$0.721000929
upstage/solar-pro4$0.108$0.4321000557
writer/palmyra-x5$0.72$7.210008,031
x-ai/grok-4.20$1.5 (up to $3)$3 (up to $6)10004,722
xiaomi/mimo-v2.5$0.168$0.3361000530
xiaomi/mimo-v2.5-pro$0.522$1.04410001,650
xiaomi/mimo-v2.6-flash$0.168$0.3361000532
xiaomi/mimo-v2.6-pro$0.522$1.04410001,650
xiaomi/mimo-v2.6-pro-ultraspeed$5.22$10.44100016,611
z-ai/glm-4.5$0.72$2.6410003,464
z-ai/glm-4.5-air$0.156$1.0210001,200
z-ai/glm-4.5v$0.72$2.1610002,986
z-ai/glm-4.6$0.66$2.6410003,396
z-ai/glm-4.6v$0.36$1.0810001,493

"Up to" marks a model that charges a higher rate at peak hours or for very long prompts; the cap above already covers it. Models with a per-request fee include it in the cap.

Not served

  • Free models (:free and the free router). They are rate-limited and produce no answer. (17 in this list)
  • Models that may reason without being asked. Their thinking is not shown to stay inside the output cap, so they could cost more than any limit you set. (212 in this list)
  • Models that search the web on their own. Each search adds a fee no cap can bound. (11 in this list)
  • Models that return images or audio. Only text answers are served. (3 in this list)
  • Models with no usable output price. (4 in this list)
  • Routers and models whose price is not a fixed number (for example auto-routing), or that charge a fee the cap cannot account for. (7 in this list)

A model that is refused before it runs costs nothing from your USDC, but the network fee is still spent, so check the name here first.